2003
Revue française de sociologie
“Reducing” Actor’s Rationality : Why Go off the RMI
[(1)]
Welfare Program ?
[*]
François Dubet
Centre d’Analyse et d’Intervention Sociologiques (CADIS)-École des Hautes Études en Sciences Sociales (EHESS)-Université de Bordeaux II 3 ter, place de la Victoire – 33076 Bordeaux cedex France
Antoine Vérétout
Institut Régional du Travail Social (IRTS)-Laboratoire d’Analyse des Problèmes Sociaux et de l’Action Collective (LAPSAC)-Université de Bordeaux II 3 ter, place de la Victoire – 33076 Bordeaux cedex France
The “inactivity trap” model is based on a “narrow rationality” postulate according to
which recipients of the RMI “decide” not to work because the wages they may expect to
earn are lower than the welfare payments they receive. By this postulate, the other essential
factor in an individual’s non-employment is his or her length of time on welfare programs
(“seniority”). Our analysis of 20,000 RMI recipient files shows that the explanatory value of
this model is relatively weak, namely when it comes to what is assumed to be the disincentive effect of receiving the RMI. It also shows that it is inadequate to reason entirely in
terms of employment; the content of available work must also be taken into account. It is
therefore necessary to abandon the narrow rationality model in favor of a model of contextualized rationality, the “good reasons” model, as it may be observed in 128 interviews with
RMI recipients. On the other hand, because the interviews point up so many different and
sometimes contradictory “good reasons”, we may in turn question the relevance and usefulness of this model, which in fact interprets behavior rather than explaining it.
Which RMI recipients go off the program in order to get a job and which
stay on it and continue to depend on welfare ? The answer seems obvious.
Those who go off do so in their own interest because they know their income
will increase; they are also persons who receive job offers and have sufficient
personal resources to get and hold available jobs. Those who stay on the program do so because it is not in their interest to work; they would not benefit
financially from leaving the system and are not at all equipped to occupy
available jobs. Individuals in the second case are said to end up in inactivity
traps. As purely rational actors, they are assumed to calculate that it is not in
their financial interest to work, and/or they do not have the personal resources
to do so. Inactivity traps are understood to be the product of unemployment itself, actors’ individual characteristics, and above all a perverse effect of the
welfare system, where payments amount to more than the low wages for
low-skilled work that most RMI recipients seem doomed to.
Such reasoning, based on the narrow rationality postulate, presents two advantages for anyone tackling our research problem. First, it can be empirically
checked by examining RMI exit rates. Second, when it gives rise to or fuels
the idea that welfare protection levels are too high because they dissuade people from trying to find work or accepting work offered, it may well have ideological and policy effects.
[2] If we look more closely, however, we see that
the model, while not irrelevant (if only because vaguely tautological), is far
from satisfactory. Our analysis of over 20,000 RMI recipient files shows that
if we remain at this first level of rationality, a high rate of individuals behave
“aberrantly”. A great number of those whose interest would indicate getting
off the RMI, and who have the personal resources to do so, stay on, while just
as high a rate of people whose interest would indicate staying on and who do
not a priori have the resources to get out of the inactivity trap choose to go to
work. Moreover, in all cases expected financial gain plays a lesser role than
available opportunities and individual resources.
This observation obviously does not mean that these actors are not rational.
Rather it invites us to effect a “reduction” of the coarse rationality assumed by
the model. We use the term “reduction” in the chemical or culinary sense–an
operation which identifies the active components in complex molecules or
“simmers away” excess water in sauces so that only ingredient juices and flavors remain– with the idea that here that operation will enable us to perceive
and describe actors’ fine, highly contextualized rationality. In practice this
has involved exchanging quantitative for qualitative instruments : we questioned approximately one hundred RMI recipients or former recipients about
how they understood their strategies and choices. On the basis of the interviews it was clear that the relevant model was no longer “narrow rationality”
but “good reasons”. Still, the good reasons collected appear so diverse and reversible that we may well ask whether what sociological study gains in interpretative capacity through use of this model it does not lose in explanatory
potential.
Inactivity traps are situations where returning to employment would not involve a net increase in disposable income given the accompanying loss of or
decrease in welfare payments, the new employment-related taxes (the residence tax, for example, from which RMI recipients are exempt), and employmentrelated expenses such as transportation, child-care, having meals out,
and so forth. The high level of welfare minimums in France is believed by
some to act as a disincentive to looking for work or accepting certain jobs
(Van Parijs, 1996). Studies have shown that only low marginal gain is to be
had from getting back into work (namely for couples in certain situations),
even at full-time minimum wage and before employment-related expenses
(Padieu, 1997; CERC, 1997; Atkinson et al., 1998). By calculating net gain
per hour of work, Paillaud and Eyssartier (1998) reached the same conclusion :
an individual living alone, renting, and being paid minimum wage for a
full-time job makes a net hourly gain over the RMI of 9 francs [1.37€ ],
slightly over 1,000 francs [152€ ] a month. Under these conditions it is not
much in the RMI recipient’s interest to pull out of the system.
In even less favorable employment situations, where RMI recipients obtain
only half- or three-quarter-time jobs, not only do they gain nothing by going
off welfare, but they lose a considerable amount and, given the precariousness
of their jobs, are in danger of needing to go back on (Padieu, 1997). A study
conducted by the Institut National de la Statistique et des Études
Économiques (INSEE) (Afsa and Guillemot, 1999) shows that 44.8% of jobs
occupied by persons just off the RMI are part-time jobs of fixed duration. As
O. Benoit-Guilbot (1990b) notes, it is as if employers, not confident in the capabilities of former RMI recipients, used the unstable jobs they have to offer
as a kind of probation-period ordeal through which former recipients must
pass. There are studies showing that more often than not these jobs do lead to
stable employment–thus to significant marginal gains– rather than renewed
unemployment (Florens et al., 1990). Nonetheless, from the actor’s point of
view, the risk of renewed unemployment is there, and going back into the
welfare system involves a whole set of costs in itself, such as renewed administrative procedures, liquidity problems while waiting for the response to
one’s new application, and the danger of having that application turned down
after taking a job that does not become stable employment. In game theory
language, it would be in these individuals’ best interest to adopt a “maximin”
strategy aimed less at winning big than simply not losing (Delvaux and Cappi,
1990).
Low income differential on the one hand and the financial uncertainties involved in reapplying for the RMI on the other may well lead the individual to
become encysted in welfare and the financial minimum it guarantees. The inactivity trapdoor leads to a chamber in which the RMI recipient is caught by
means of a pawl device for, over time, individuals lose their skills–what
economists call the “degeneration of human capital”. Likewise, employers
view a long period on RMI rolls as a negative indicator and are less likely to
hire long-term unemployed job candidates. For these reasons unemployment
can be called a reverse waiting line : the last to become unemployed have a
better chance of being served – ie, finding a job– than the first in line.
Taking into account these two factors–expected financial gain and length
of time on RMI rolls– we can use the inactivity trap model to distinguish four
groups.
TABLE I.
Inactivity trap model
TABLE I. – Inactivity trap model
Income differential
High Low
Relative length of time Long Group 1 Group 2
on RMI Short Group 3 Group 4
“Disincentive” factors combine and reinforce each other in Group 2; inactivity trap mechanisms should operate fully in this group : individuals may expect little gain from obtaining employment and are disqualified for having
been a long time on the RMI.
[3] Conversely, Group 3 comprises individuals
who are more likely than all others to benefit financially from employment
and who are most likely to be hired; their self-interest would seem to indicate
getting off the RMI. It is on these two groups that the inactivity trap model
should be tested, together with the particular “actors’ rationality” model on
which it is based, as these situations are the most clearly identifiable, homogeneous, and decisive. Do individuals in Group 3 find jobs at a sharply higher
rate than individuals in Group 2 ?
1. Whether the elementary reasoning on which the inactivity trap model is
based is empirically validated or not depends, of course, on the nature and
quality of the data available. Data must cover a population large enough to
make the test significant. From two merged sets of RMI recipient files for the
Caisse des Allocations Familiales [CAF; Aid to families welfare payment
center] of the Gironde department (files current on June 30,1997 plus files
current on December 31,1998), we selected 22,211 adequately complete files
for statistical analysis of RMI recipient population and movement onto and off
of RMI rolls.
[5] The data base was not without holes : while it provides recipient’s age and sex, length of time on RMI, household composition, nationality,
and address, as well as welfare income information, it contains nothing on
recipient’s health or skill level, job offers received, or, of course, “under the
table” income. Our test of the inactivity trap model thus suffers from major
methodological limitations. Moreover, going off the RMI does not necessarily
mean the recipient found a job. There are administrative reasons for going off,
such as receiving a different type of welfare aid, retiring, or simply moving
out of the department. There are also poor people who do not receive the RMI
(Afsa, 1995). For reasons related to available file information and size of population studied, we understood an individual’s disappearing from the general
file to mean that he or she had gone off the RMI. We did, however, omit from
the study individuals over 60 who went off the RMI directly into retirement,
as well as persons no longer residing in the Gironde since we did not know
what had become of them.
[6]
2. To determine the effects of income differential between RMI and employment, we used Claudine Padieu’s method (1997) of calculating income
differences per household unit (not including rent and assimilable). For each
type of household, we calculated the percentage of financial gain that employment would bring over and above the sum effectively received in the way of
welfare minimums and allocations of various sorts. To do this we had to consider the various types of welfare aid, as well as number and age of children
in household. We worked with different types of scenarios, comparing welfare minimums received with minimum wage and three-quarters minimum
wage jobs.
[7]
Table II is of crucial importance because it shows that while the probability
of going off the RMI increases with expected income differential, the progression is neither strong nor unequivocal. The differences in exit rate by expected gain are slight, +6.4% for minimum wage to +4.3% for three- quarters
minimum wage; above all, they are highly irregular, with jumps between differential categories. At three-quarters minimum wage, more persons who
stand little to gain go off the RMI than persons who would increase their income by 50%; at minimum wage, persons who stand to gain between twice
and 2.2 times as much are less likely to go off than persons who stand to gain
between 1.8 and twice as much. As for general increase in exits by expected
gain, the differences involved seem to us too slight to be convincing. We can
therefore immediately reject the hypothesis that actors behave only in accordance with a narrow “economic costs/benefits” calculation. This would seem
to condemn the narrow utilitarian rationality model, together with the simplistic ideological clichés that sometimes accompany it–not to mention the fact
that many factors in addition to expected financial gain may intervene in
choice-making. Moreover, the table is based on an abstraction : it is as if all individuals had been offered jobs and then decided either to take them or stay
on the RMI, whereas this is obviously not the case. In reality, we cannot know
all job offers received by all members of the sample. We do, however, know
the rates of exiting the RMI by the various employment zones of which the
Gironde department is comprised, and as it turns out, they are not correlated
to job offers. We can therefore conclude that variation in exit rates is not
merely an effect of job offers.
TABLE II.
RMI exit rate by income differential
TABLE II. – RMI exit rate by income differential
Income differential Minimum wage (%) 3/4 minimum wage (%)
Exit Exit
> 100 - 36.3
100 - 114 - 23.2
115 - 135 34.3 29
136 - 156 30.8 34.8
157 - 177 28.8 35.3
178 - 198 35.2 40.6
199 - 219 29.5 -
220 - 235 40.7 -
Total 35.8 35.8
Note: For 100 RMI recipients who would make between 1.15 and 1.35 times more if they were paid minimum wage [full-time job], 34.3% go off the RMI.
TABLE III.
RMI exit rate by employment zone within the Gironde
TABLE III. – RMI exit rate by employment zone within the Gironde
Arcachon Entre-Deux- Libourne City of Médoc St André de Langon
zone Mers zone Bordeaux Cubzac zone zone
Job offers 2.9 4.7 3.7 5.9 5.5 2.08 4.2
Exit rate 48.6 36 35.9 35.3 34.4 33.7 30.1
Note: From June 1997 to December 1998,2.9 jobs were offered per 100 job seekers in the Arcachon zone,
where the rate for going off the RMI was 48.6%.
Source: Direction Régionale du Travail, de l’Emploi et de la Formation Professionnelle [Regional
bureau of labor, employment, and occupational training] for Aquitaine region.
Direction Régionale du Travail, de l’Emploi et de la Formation Professionnelle [Regional
bureau of labor, employment, and occupational training] for Aquitaine region.
With these results in hand, we cannot accept the conclusions proposed by
Laroque and Salanié (2000) on the basis of a 1997 INSEE employment survey, specifically their “non-employment” breakdown. They affirm that of the
3.25 million unemployed persons aged 25 to 49 throughout France, 57% are
cases of “voluntary non-employment” explained by how little they would
stand to gain from having a job relative to the welfare payments they receive
by remaining unoccupied. 20% of cases, on the other hand, are said to be a
matter of “classic non-employment” given what would be their low productivity compared to cost of paying them minimum wage. And 23% are said to be
cases of “Keynesian” or “frictional” unemployment. The narrow rationality
model is thus used to separate “wheat” from “chaff” poor persons in a time of
ample job supply–an age-old social policy problem. The authors add that
lowering what employers have to pay to the state on a minimum wage job
would create 500,000 jobs, whereas increasing the minimum wage would cost
290,000 jobs. In his critique of this analysis, Sterdyniak (2000) particularly
denounces the imprecision of their calculation method, showing that many
job-holders agree to work for very low gain and that their number would be
even higher if part-time work had been taken into account, whereas Laroque
and Salanié’s projection makes no distinction between job seekers and unoccupied persons, pays no attention whatsoever to employer hiring behavior,
does not count part-time work, and so forth. We would add that the expression
“voluntary non-employment” is particularly shocking given that a study by
Rioux (2000) indicates that three-fourths of RMI recipients look as actively
for work as other unemployed persons and that most of them stress the financial constraints this entails : transportation, telephone bills, clothing costs, etc.
3. According to Laroque and Salanié, only 20% of unemployment can be
put down to individuals’ low skill level. In fact, remaining a relatively long
time on the RMI seems to weigh much heavier on exit probability. In general
–and the trend is perfectly regular– exit rate decreases with “seniority”: at the
time of the survey, it was 18.2% for persons who came on in 1989,29.8% for
persons who came on in 1993, and 50.1% for those who came on in 1997.
“Seniority” is thus an essential variable and must be included in the general
model for predicting exit. If we distinguish between two groups in terms of
length of time on the RMI–above or below four years– and income differential on the basis of three-fourths minimum wage (the most likely employment
situation), we get the following results:
Like Table IV, Figure I, representing exit rate by length of time on RMI
and expected income differential, shows that expected gain is less decisive
than length of time and has such irregular influence that we cannot derive a
general trend. When we combine length of time on the RMI with income differential, we observe that the inactivity trap model, while not entirely invalidated, has only limited explanatory capability. First, length of time on the
RMI is much more decisive than income differential, with a total difference of
18 percentage points for the first as opposed to only 7 for the second. Also, individual’s social and personal resources count for more than expected benefit
alone. Furthermore, more than 23% of individuals who don’t stand to gain
much and who a priori don’t have much in the way of personal resources
(Group 2), nonetheless go off the RMI. It is probably the case that twice as
many people optimizing expected gain and resources (Group 3) leave the welfare system, but length of time weighs more than expected income differential. At this level of analysis and taking into account the fact that the material
at our disposal was fairly cursory–by definition it included no mention of undeclared income– we can say that the results do not validate the simple utilitarian approach holding that individuals don’t go off the RMI because they
don’t stand to gain financially by doing so. Moreover, if we examine the hypothesis of an income differential based on full minimum wage, thus significantly increasing expected gain, the differences in exit rates between Groups
2 and 3 are even slighter : 21.9% and 41.7% respectively.
TABLE IV.
Exit rate by length of time on RMI and income differential (average rate: 35.8%)
TABLE IV. – Exit rate by length of time on RMI and income differential (average rate: 35.8%)
Income differential
(3/4 minimum wage)
> 50% < 50% Exits
1.26.5% 2.22.8%
> 4 years (543/2,052) (1,112/4,876) 23.88%
9.25% 22%
Length of time
on RMI 3.45.1% 4.38.8%
< 4 years (2,726/6,049) (3,580/9,234) 41.26%
27.25% 41.5%
Exits 40.36% 33.25%
Note: 26.5% of persons receiving the RMI for more than 4 years and standing to gain more than 50% with
a 3/4 minimum wage job went off; the group they came from constituted 9.25% of RMI recipients. The
exit rates for individuals with an income differential above 50% was 40.36%. Varying the 50% threshold
by ten points in either direction only slightly changes these rates.
FIGURE I.
Exit curves by length of time on RMI and income differential
In order not to narrow the general inactivity trap model down to mere utilitarianism, we have included other items among predictive factors for going
off or staying on the RMI. Data available in the CAF files enable us to examine five such variables.
[8] Regression analysis shows that their combined influence is slight–0.136 of variance– and that among them, the role of
expected gain is even slighter (see Appendix).
There is no single “specific population” of RMI recipients
1. In fact, this first analysis calls the inactivity trap hypothesis into question rather than invalidating it. In order to test the relevance of the model, it’s
necessary to change perception modes, as it were, agreeing to lose in extension what we gain in acuity of vision. We conducted in-depth interviews with
128 individuals chosen from among the over 22,000 cases in our sample population. The process was not easy, as RMI recipients are not necessarily ready
to speak openly with researchers and may easily confuse sociologists with
CAF inspectors, while former recipients are not at all eager to discuss that
painful period in their lives. The sample was determined in such a way as to
have an equal number of representatives of each of the four groups defined by
the model; we then looked at 1) model-based exit prediction for each individual based on his or her situation, and 2) whether the individual did or did not
in fact go off the RMI.
[9]
Because the sample could not be representative if the data were too coarse,
we gave preference to the most clearly “aberrant” cases, those which are of
greatest interest to sociologists because furthest removed from the utilitarian
narrow rationality notion. Fifty-two of the interviews were with individuals
who in utilitarian terms “should have” gotten off the rolls but hadn’t; 40 with
individuals who “should have” stayed on the rolls but hadn’t. Another 20 interviews were with persons in the first case who did go off, 16 with persons in
the second who did not–the two ways of conforming to inactivity trap model
predictions.
2. One feature of the inactivity trap model that makes it seem particularly
convincing is that it is based on a conception of the group under consideration
as unified, homogeneous. Though with social services statistics (those furnished by the CAF) we can construct a few simple subcategories (based on
length of time on RMI, family situation, sex, age, and so forth), those statistics
constitute a kind of primitive administrative categorization incapable of accounting for the extreme diversity of the individuals on the RMI. As soon as
we consider these individuals, notions of actors’ resources and actors’ interest
literally blow apart into a mosaic of individual cases and stories. A survey by
the CREDOC (Centre de Recherche pour l’Étude et l’Observation de Conditions de Vie) underlines the strong heterogeneity of RMI recipients; the only
point they have in common is that many have occupational itineraries marked
by unemployment and distance from the job market (Croutte, Iliakopoulos,
and Legros, 1991). For all these people, the RMI is part of different situations
and histories, and though their desire to improve those situations is not
thereby affected, the rationality of individual actors seems singularly circumscribed and contextualized, quite removed from the narrow rationality notion
that shapes many ideological discussions about poor people’s will to get out
of poverty. At the risk of establishing a kind of catalog–worse, an incomplete
one– let us evoke the patchwork made up of the one hundred or so persons interviewed, aware that it too is only an on-the-spot sketch that freezes situations at the moment of the interview. Indeed, the interview technique itself
unavoidably engenders self-selection, since many respondents did not wish to
meet sociologists, whom they could not help perceiving as agents of social
control.
A segment of RMI recipients is made up of individuals and families from
traditionally poor, dependent social groups, whose parents and grandparents
already belonged to the “fourth world” of the odd seasonal job, rural or urban
poverty pockets, children taken from parents and placed in custody of the social services, and so forth. Others, on the contrary, are literal unemployment
accidents : laid-off managers, middle-class women alone after divorce, skilled
workers laid off in company restructurings, and so forth. The two groups have
nothing in common but the RMI, and they perceive the RMI quite differently :
for the first group it’s considered a serious bit of good fortune while for the
second it is both a catastrophe and a lifeboat.
We can also identify a group of RMI recipients who think of themselves
first and foremost as having nearly exhausted their unemployment benefits.
These persons may be seen–and see themselves– as workers deprived of employment, pure victims of the job market crisis. They are laid-off manual and
office workers whose identity is entirely crystallized around work. In contrast,
there are young people for whom the RMI is part of a way of getting started in
adult life rather than any catastrophic exit from working life. They are prolonging their student lifestyle while looking for a job they really want; for
them the RMI constitutes a kind of post-education financial aid. There are also
recipients who aim to fulfil an artistic vocation, many in the visual arts or music, for whom the RMI is part of a bohemian life, functioning a bit like the
special unemployment benefits for “intermittent” workers in the French entertainment industries.
At one end of the chain, then, are destitute, isolated individuals for whom
the RMI is the last source of survival, while at the other we find persons for
whom welfare benefits are part of a way of life or a life choice that preexists
the benefit. The Tziganes [term for Rom population long present in France]
offer a good illustration of the second case. For them the RMI is perceived as
either a “gift” or a “debt” paid to a community whose members can thereby
enjoy a greater degree of choice. Some have taken up nomadic life again; others have used the RMI to settle, but none has become “integrated into normal
life” (Reynier, 1992).
RMI recipients are also an extremely heterogeneous group in terms of capabilities for acceding to employment. It would be misguided to think that if
there were jobs for all, every RMI recipient could obtain one, for the simple
reason that some are extremely impoverished, isolated, ill. Others, shattered
by poverty, solitude, and unemployment, have sunk into a chronic depression
that makes any occupational activity seem too much for them–and they may
well be right. In many cases the RMI enables people to get through the wait
for handicap benefits. Other individuals, on the contrary, present themselves
as entrepreneurs in their own cause. They are very busy : looking for work,
legal or not, getting occupational training, and generally constructing their
lives, either in shadow or the light of day. For them the RMI is a resource
among others, and above all a source of social protection and “legality”.
There are many other possible ways of distinguishing RMI recipients. We
could contrast urban recipients with rural ones, or isolated ones with those
who live in poor neighborhoods that both confine and protect them, transforming their individual stigma into a collective one. We could also contrast
those who find job opportunities near them with those who have to move
away; skilled with unskilled; those with family and those without, etc.
In sum, the RMI and other welfare programs are general, universal systems
that meet up with particular individuals who for their part are indissociable
from particular situations and histories. Given this fact, the rationality of behavior aimed at leaving or remaining in welfare benefit systems must be indexed in terms of those situations, histories, and projects. An overly general
model cannot account very well for such variables. It is necessary to do away
with the notion of a single type of RMI recipient and try to understand the different varieties of reasoning that individual actors follow, how those types of
reasoning are themselves inscribed in social service systems, and how they
are used. It is true that these individuals are generally weak and dependent,
but they are not passive; more exactly, passivity is also a matter of strategy
when no other seems possible. We need to be careful not to blame the victim,
not to criticize some for their excessive passivity and others for being exceptionally talented at getting social benefits and under-the-table work.
It is always possible to propose typologies that confer a degree of order on
complex, even confused-looking behaviors. After underlining recipients’ heterogeneity, the afore-cited CREDOC survey, for example, distinguishes between “marginal users”, “heavily assisted beneficiaries” and three other
groups, said to use the RMI for, respectively, health, housing, and occupational integration purposes. A survey by the CERC (Conseil de l’Emploi, des
Revenus et de la Cohésion Sociale) distinguishes three groups : those with occupational or employment assets but no social ties (40%), those with social
ties but no occupational or employment assets (45%), and those with neither
(CERC, 1991). Such typologies are not without their uses, especially for the
social services, but they don’t really tell us anything about who RMI recipients are. The intellectual satisfaction to be had from this type of exercise
would lead in our case to reifying abstract and above all arbitrarily defined
sets of individuals, sets that, in any case, cannot account for individuals’ rationality. Either we must choose a typology so fine as to be meaningless, or a
typology so simplistic as to go no further than contrasting men aged 25 to 34
married but childless with 70% expected gain from going off the RMI to all
other recipients. It is diversity of RMI population, just as much as rate of “aberrant” cases in terms of the trap model, that invites us to distance ourselves
from blueprint-like “narrow rationality” and its requirement that too many
“other things” be “kept equal”. The analysis must thus be “reduced” a degree.
As shown in Table IV and Figure I, life conditions and individual resources
play a greater role in decisions than what individual stands to gain financially
from going off the RMI. Still–and this may be due to the cursoriness of recipient file information– these “causes” do not at all fully explain behavior (see
regression analysis in Appendix). The interviews, on the other hand, bring to
light hidden causes. But while all causes play a role, the way they act is far
from homogeneous. What’s more, most are reversible. The limited role of
causes is thus not due entirely to the coarseness of our statistics. When we
consider the combination of causes operative within a particular situation and
an equally particular personal history, we see that the same ones can lead to
either staying on the RMI or going off. Everything depends on the way multiple “causes” work in the lives of equally multiple individuals.
Overall, we risk little by saying that individuals with links to their families
and various social networks get on better than those who remain apart and
alone. The role of networks is not unequivocal, however. Everything depends
on what sociability networks an individual belongs to and what use he or she
makes of them. It seems obvious that when networks themselves are defined
by poverty, separateness, or a particular lifestyle, they may well integrate individual members through strong ties that actually lock them into that position. The first effect such networks have is to preserve the individual
recipient, protecting him or her from the stigma attaching to the RMI. If all the
people one has relations with are in situations comparable to one’s own, if relatives and friends are all on the RMI, the individual is protected. “Why should I
go off when we’re all in the same boat, all the same ?” Housing construction
and government policy has had the effect of isolating just such groups of
“welfare cases” within extended housing developments; individuals end up
together in the same housing project, and as we have observed, poverty pockets are associated with greater probability of staying on the RMI (Table V in
the Appendix). But if these networks are so strong, this is because they offer
considerable survival resources. They develop collective skills for using the
social services. It is in such settings that individual recipients speak of their
“rights” and of how familiar and skilful they have become in using the social
services since first being taken in charge by them. We also know that such
networks increase the number of services exchanged among neighbors –
babysitting, various kinds of helping hands, other expressions of local solidarity– and that unless, of course, they involve delinquency or the various types
of trafficking that young people in housing projects can get mixed up in, they
help provide access to essentially legal resources. Ethnic solidarity can play
the same role of integrating individuals in a situation of marginality, organizing life on the margins, making bearable conditions that in solitude would
not be.
Moreover, without networks and sociability, there is really no means of
getting out of the bad situation; relations open up a way out. Often it is
through membership in local and ethnic groups, or friends, or neighbors that
individuals ultimately find employment. Being part of an extended family
may push an individual to go on the RMI. But if the family has some resources, if someone in the family knows someone who knows someone with a
job to offer, etc., it can also help him or her go off. Interviews with RMI recipients of immigrant origin clearly point up the ambiguous nature of networks :
they protect and confine, but are also able to provide a helping hand, creating
ties with the “ethnic” economy. As for Granovetter’s “weak ties” (1974,
2000), they are usually too few or too weak to be truly effective. Individuals
who go off the RMI seem both integrated into a network of strong ties and
connected to more open contexts; they’ve got one foot in and one foot out.
This is what we hear from “bohemian” recipients, who find resources within
their immediate circle but also have enough relations and “social capital” to
get out of it when they wish to.
The ambiguity of getting paid “under the table” is exemplary here. In fact,
working for payment under the table may confine individuals to their status of
RMI recipient by making it “livable” and even, in some cases, “comfortable”,
as long as they’re not found out. Individuals in this case don’t really stand to
gain from getting legal work. But is it reasonable to believe in the first place
that RMI recipients could live off of what they get in the way of official welfare aid ? In this sense the demand for under-the-table work seems inexhaustible–like the supply. This type of activity keeps those who do it from going
off the RMI sooner. But it should be kept in mind that illegal work brings individuals into extended networks that may well lead to legal employment, temporary work, limited contract jobs and even sometimes open-ended contract
jobs. It even sometimes happens that a mix of RMI benefits, illegal work, and
part-time legal work enables the individual to become self-employed, set up a
business. In fact, while working illegally confines people to the RMI, it also
sets ajar numerous doors to legal work.
Social work seems marked by the same type of paradox. According to
some, it locks people into dependency. Administrative procedures for obtaining welfare are so complicated that people cannot do without the social
worker’s expertise; they set up case files for applicants and generally put
some order into situations of marginality, while often closing their eyes to
little illegalities that improve daily existence. The “good social worker” [most
often referred to as female], seconded by actors with strategic abilities, can arrange quite acceptable survival situations for people. In some cases, social
workers perceive individuals as having only a slim chance of getting off the
RMI through employment and don’t really push them to try, thus working to
transform recipient’s social problems into individual’s psychological ones.
This criticism of social control as effected through “the finer feelings” and
leading to recipients’ internalization of stigma is not unfounded. On the other
hand, it is sometimes the ill will demonstrated by the social services that locks
“clients” into the system–those who don’t want to have to face being humiliated at social service counters, taking “phony” training programs, attending
meetings of RMI recipients organized by the Commission Locale d’Insertion
(CLI) [Local social-integration commission]; services that force them to identify with a group of “fallen”. The various CLI judged harshly by RMI recipients have reputations that seem to be based on facts that make them deserve
such judgments, and in general, the Agence Nationale Pour l’Emploi (ANPE)
is criticized for its indifference and inefficiency. Though these are only matters of judgement and reputation, they run through so many respondents’ discourse that we would be mistaken to consider them insignificant. It should be
noted here that in 1998, one out of six unemployed recipients had a job six
months later. In two out of three cases where that job was obtained through
the ANPE it was subsidized by the state in one way or another or else it
amounted to paid training. On the other hand, when the RMI recipient found
the job himself or herself, one out of four came with an open-ended contract
and the same proportion with a limited-time contract, and only one out of four
was a state-subsidized job (Rioux, 2000). Recipients’ ambivalence with regard to the effects of social work thus do not seem unfounded, if only because
social services are never as efficient as personal resources–on condition that an
individual have them, of course, which is not the case for all RMI recipients.
On the other hand, social work can help individuals go off welfare through
the psychological support it provides, and above all because most recipients
do not obtain employment directly. Having a state-subsidized job, a Contrat-Emploi-Solidarité (CES) [a type of state-subsidized employment], or one of a
variety of part-time jobs may confine individuals to sub-networks, but it may
also give them a leg up, on condition that such employment is not experienced
as “a shit job” and source of continual humiliation. The atmosphere of ambivalence within which these programs function should not lead us to forget their
positive role. Paradoxically, social work helps individuals get off the RMI
when it is perceived as something repugnant, when recipients don’t want to
have anything to do with social workers, don’t want to owe anything to anyone, can’t stand telling the story of their lives to strangers, don’t accept a relation in which they are assisted but also feel strapped up in a status they find
unacceptable. Fully half of the individuals interviewed who went off the RMI
underline how vehemently they refused to identify with the world of social
welfare “cases” to which the social services unavoidably confined them. We
could pursue this type of reasoning for many other social factors. Having any
kind of educational degree, for example, is unquestionably of ambivalent
value because while it is an objective positive resource it may also be a sub-jective handicap involving fear of failure or of seeing a long training period
come to nothing.
We could say that those most apt to make it out of their bad situation both
have educational degrees and are ready to accept a drop in status from the
level suggested by their education. Likewise, having children in the household plays an ambiguous role because it makes it impossible to accept just any
job in terms of hours or location yet constitutes a push to accept just any job
because being employed will restore one’s image in the eyes of family, particularly children.
In the end, the numerous reversible factors just underlined make sense only
in terms of particular situations, specific life stories, and singular combinations of situations and life stories. Individuals seem to move along the razor’s
edge; the slightest breeze, sudden setback or opportunity, throws them to one
side or the other. The dividing line can thus only be drawn by means of subtle
variables and even subtler variable combinations. This remark may be disappointing for social scientists who like solid causalities and inarguable correlation coefficients, but it has the advantage of toppling a great number of
clichés and stereotypes about any “specific population” of RMI recipients or
welfare recipients in general.
The distance between observed behavior and the inactivity trap model, as
well as the extreme heterogeneity of RMI recipients, cannot invalidate the hypothesis of actors’ rationality, or even that of self-interested action. It is simply that rationality and self-interest, or utility, take on so many different
“faces” that a general model cannot account for them all. When we look
closely, we see that persons who remain on the RMI when they “should” go
off have sound reasons for doing so–just as sound as reasons cited by persons
who go off when they “should” stay on.
Why stay on the RMI ?
Analysis of interviews points up contextual and itinerary features that are
absent from the files. Narrow rationality may be seen to “diversify” into good,
sound economic, cultural, and social reasons that cannot be summed up by expected financial gain alone.
One family of reasons does not appear at all in the general CAF file data
and came out only in the interviews : the fact that there are individuals who
cannot work. The omnipresent themes of depression, illness, handicap dominated in a great many interviews. We on the outside of recipient experience
cannot on the one hand affirm that unemployment and poverty weaken an individual subject’s capacities and then be surprised to see that individuals are
indeed destroyed by these situations. It matters little whether physical and/or
mental disease is cause or consequence of getting caught in social welfare
programs; what seems unquestionable, however, is that a segment of recipients are simply incapable of taking on the “job” of working. For these persons, whatever the overall employment situation or specific expected
employment-linked advantage, the RMI functions not as a transitory measure
but as subsistence income, very low-level survival income. It also seems that
in such cases, in situations where the most pressing need is some dental care,
or a place in yet another drug addiction treatment program, or learning the basics of “presenting oneself” in public, social workers have given up the official fiction of an “integration contract”.
[10] Here the RMI is relaying defective
social programs : recipients take refuge in the assistance made available to
them while waiting for other welfare aid applied for to kick in; they seem definitively “out of the running”. We do of course need to know how many recipients are in this case. The founding concept of the RMI clearly does not
apply to them since in reality they are waiting to retire, have a handicap recognized by the Commission Technique d’Orientation et de Reclassement
Professionnel (COTOREP), [the commission charged with examining files of
handicapped persons and fixing special pension rates], or are in some other
“exceptional” case. In sum, they are individuals whose self-interest may indicate going off the RMI but who simply cannot.
Another good reason not to go off is the cost of trying to obtain employment–not the same thing as the “expected financial gain” that economists calculate. Many individuals stress how expensive it is to commit oneself to
finding work. Here the inactivity trap model does function, on condition that
we know and take into account the hidden costs of access to employment,
costs that the basic model does not and cannot bring to light with such cursory
indicators as “relative expected gain”. The simplest calculation shows that income differential between the RMI and other welfare benefits on the one hand
and expected earnings on the other melts away as soon as we take into account expenses for transportation, clothing and “making a good impression”,
and child-care. Single women with children are most affected by these kinds
of constraints because if they get a job they will have to give up taking care of
their children and are often offered working hours incompatible with family
life. Without a partner and often without family to relay them, it is “objectively” not in their interest to choose work, or else for a gain so absurdly small
that it would in no way compensate for the combined costs of occupational investment plus family disinvestment. If we take into account car maintenance,
and/or transportation, and childcare costs, plus the financial effect of losing
certain welfare benefits, it is simply not rational to go to work–though this is
not at all to say the RMI is too high. To these calculations should be added
what may be called status-shift costs. In effect, since most available jobs are
not permanent, actors tend to assume they will have to go back on the RMI,
and this implies a long series of efforts and humiliations : putting together a
new application, standing in line at social service counters, signing up at the
ANPE, telling one’s life story to several social workers (again), waiting several weeks or months before new services are delivered, and so forth (Dubois,
1999; Rivard and Thalineau, 1999). Who wouldn’t hesitate before undertaking in earnest to look for a job (with no guarantees of finding one), a job
whose drawbacks could in the long term prove greater than its advantages ? In
this connection we might mention bankrupt craftspersons, legally obliged to
start paying off their debts as soon as they find work. They go on the RMI to
protect themselves from this, while readily finding demand for their skills
“under the table”.
The inactivity trap model is based more on the notions of employment and
income than work content. With narrow rationality, it is as if there were nothing but jobs, wages, and abstract “work” without any social or subjective content. Real individuals are not focused exclusively on getting offered a job;
they are also concerned about what the work will be. And often the work offered seems unacceptable : the “shit jobs” that no one wants, exhausting, unstable, “vile”, the “dirty work”, unpaid overtime, activities with no job
security or career prospects. Cashier work, for example, where one has to remain available for the four hours between one’s two half-shifts–and isn’t paid
for the time. The fact that there is little work to be had does not mean this
kind of work has disappeared; on the contrary, it is likely to be the norm for
work offered to the most fragile and least skilled. Often it does not seem acceptable to lose one’s life, as it were, in order to earn one’s living. Income differential cannot justify all in the eyes of persons reluctant to accept as their
fate a kind of work where the dominant norms and models are themselves a
constant affirmation that this is unacceptable work. Individuals with educational degrees who dread losing social status are wounded in their sense of
pride when offered such work, and this is understandable when we know that
working in unskilled jobs could put a definitive blot on their CVs. This reaction can also represent a long-term rational choice (Iribarne, 1990). The main
objection that may be made against econometric models is that they reflect no
knowledge of either job-seekers or work content, whereas sociologists reason
in terms of socially defined individuals and precise offers of work, not just
jobs.
Reluctance to accept just any job is especially strong given that, thanks to
under-the-table work, many RMI recipients are in fact not unoccupied. Once
again, no one seriously believes that most recipients live exclusively on welfare subsidies. Between the poorest, who have nothing other than welfare aid,
and those for whom that aid is merely an income supplement to underthetable earnings, there exists a whole range of cases of “getting by” on chance
opportunities : services rendered, overall resourcefulness, one-shot jobs. Of the
ten recipients who admitted to working and getting paid under the table, eight
chose not to work legally, whereas the statistical model constructed from the
files indicates that it would be in these persons’ utilitarian interests to get regular wage-paying jobs. In the hundred or so interviews we conducted it was
often said–of others, very rarely of oneself– that working under the table offers recipients a threefold advantage. The first is financial. Some say the RMI
is a mere legal façade, that it is very much in their interest not to chose legal
work, even supposing such work could be found (the idea being that the only
reason there is under-the-table work is that it is under-the-table). Even if these
cases are far from the rule, why give up monthly income of more than
8,000 francs (1,220 € ) plus the RMI and various other welfare benefits for a
minimum wage of 5,500 francs [838 € ] net ? The second reason is social. Underthetable work implies being fully socialized in networks for it–in this it
differs from legal employment. To work under the table one has to be integrated into such networks and keep up membership. Lastly and most importantly, individuals’ discourse on working under the table almost always turns
on assertions of freedom and skill. Such work enables one to turn down “really lousy job” offers; reputations get built; occupational skills get maintained
or developed, and so on. We are not dismissing the collective cost of black
market labor, nor the exploitation and insecurity associated with it, when we
say that such work may enable people to escape certain aspects of the
above-board wage-earner’s condition and that it sometimes hooks up with old
dreams of worker autonomy and free choice of labor.
It is time to mention those who stay on the RMI because they’re used to it
or because it’s a way of continuing to make headway on a personal project.
The “culture of poverty” theme is ideologically highly suspect because it can
be a scholarly way of designating what is assumed to be an acquired inclination for dependency and inactivity.
[11] Without accepting such extremes, we
must still conclude that RMI recipients living in districts of concentrated unemployment and large numbers of RMI and other welfare recipients, may well
feel that this situation is normal : “All my [girl] friends are unemployed and on
the RMI.” In these cases the actors have learned to survive, to get by on their
wits, to know their rights, to negotiate them with social workers, to be taken
in charge, and in doing so to become, paradoxically, more autonomous. This
is where all the little varieties of fraud that enable one to get the best out of
the system come in; lying about whether one lives in a couple, about rent figures and housing status, about resources from the Centre Communal d’Aide
Sociale (CCAS) [municipal rather than departmental-level welfare assistance],
and so forth. Such highly rational use of the RMI is optimized among those
whose life project involves living on the margins, such as artists, or those who
are part of a culture in itself marginal, such as the Tziganes. The former may
well live with a wage-earning partner, receive financial and other assistance
from family, and collect their envelopes for work done under the table. Members of the latter group tend to think of the RMI as “good fortune” that need
have no effect on their way of life. Here again, we on the outside can swell
with indignation at the RMI being diverted from its stated vocation. Still, neither of these strategies was created by the RMI and nothing suggests that an
end to unemployment would weaken artistic vocations or the long-enduring
Tzigane communities.
We are not going to deny the general proposition that those who continue
receiving the RMI have an interest in doing so, but once again, that proposition is so general that it tells us very little, since the “interests” in question are
so multiple and in some cases so contradictory that they ultimately “explain”
extremely diverse, and even opposed, behaviors–that of the single mother
who could only go to work if she abandoned a major part of her family role,
but also of the bohemian who has chosen to live “dangerously”.
Why go off the RMI ?
The most interesting sociological question is posed by individuals who go
off the RMI when they “shouldn’t”. A high rate of individuals in our extended
file sample went off when it was a priori not in their interest to do so (22.8%,
Table IV). For this case the interviews once again point up rationality features
that the general inactivity trap model does not enable us to take into account.
These are more difficult to grasp than for the previous group because they
have more to do with individual motives and the subjective dimension of experience. Indeed, these persons pulled themselves out of a fully functioning
system and institution, one that was functioning for them. But there are too
many individuals in this case for us to think of them merely as heroes. The
conclusions of Piketty’s 1998 study are interesting in this regard : whereas the
employment rate for women was not significantly affected by the creation of
the RMI, the rate for men was, the proposed explanation being that men are
more sensitive to the status dimension of work and, overall, to the work ethic
–a work ethic too readily assumed to have weakened. Not as rooted in that
ethic, more concerned to maintain family activities, and offered less skilled
and lower-paying jobs, women, the study concludes, are more sensitive than
men to how slight income differential between RMI and employment may be.
The discourse of recipients who have obtained work, often only temporary
or limited-time contract jobs, sounds like one of redemption. In their solitude,
humiliation, poverty, and despair, they say, they had truly touched bottom. If
in that situation they declare that they were ready to “do anything” to get out,
this was because they were doing quite everything possible to get back into
employment–training programs, state-subsidized jobs, temporary work– and
devoting considerable energy to seeking work, using all available resources of
any kind. They had abandoned self-pride and accepted losing social status in
order to become better integrated at a lower level; they could “no longer bear
being out of work”. In all these salvation accounts, reestablished contact with
others plays a crucial role, because these persons could no longer bear what
other people might think of them, especially family and children. In young
couples the situation can also have dire effects on desire to have children.
They’d met or run into a friend, relative, social worker, colleague in a CES or
odd job. In sum, they went off the RMI because the stigma of inactivity was
unbearable.
It should be noted that these actors’ discourse is not at all focused on the
immediate economic interest of getting work; they hardly mention financial
earnings or material advantage. On the other hand, all insist on the recovered
sense of dignity that comes from no longer owing anyone anything. All say
they’ve escaped the narrow sociability of poor persons and café pals, that
they’ve become “like everybody else”, that the rhythm of their lives is once
again set by work. And even if they feel exploited and tired in the evening,
it’s another kind of fatigue than the crushing feelings of lonely apathy induced by inactivity. These observations confirm the results of a recent study
(Afsa and Guillemot, 1999) showing that despite low remuneration (never
much higher than minimum wage), 82% of former RMI recipients say they
feel better since getting back into employment. For them, work is an essential
vector of integration, dignity, and autonomy, and in this it is priceless. But
they speak much less of the work, the activity in itself, than the sociability
that comes with it : colleagues, recovered pride, what may be called a work
ethic that enables them to “look themselves in the face again” because now
others–children, family, neighbors, colleagues– can look them in the face.
Above all, with work comes rights; one is no longer in the position of a beggar, of the beneficiary who can never repay the debt because there is no countergift for the help received beyond demonstrating a certain will to change
one’s situation.
We should not be surprised to see how important the role of such moral
concerns is : these are people who went off the RMI when it was not “objectively” in their interest to do so; all they had were their subjective imperatives. We should, however, be impressed by the power of those imperatives
when we consider current clichés about the decline of “work ideology”, the
trend toward letting oneself be assisted, the irreversibility of marginal status.
This moral force, this capacity be a subject, is rooted in individual histories
and personalities that cannot be satisfactorily accounted for in terms of narrow rationality and expected financial gain. We may, however, identify three
central characteristics. The first is that being an RMI recipient seems particularly unbearable to people who have already held long-term stable employment, who have forged themselves an identity of “person who works”. Even
when they hit bottom, they cannot really accept to forego work. The second
has to do with the fact that the RMI’s perceived role can vary by life period.
For young people, students, bohemians, the RMI is connected to a particular
life period and assimilated to a kind of student financial aid package that prolongs the moratorium of youth. This representation ceases to be when one
reaches a certain age, decides to leave home, start a family, when one falls in
love. Finally, while all these individuals speak of courage and energy, they
also speak of chance, being in the right place at the right time, coming upon a
“good social worker”, getting a CES where one isn’t “treated like shit”, and so
forth.
In some cases, then, the meaning of the RMI becomes completely transformed–or rather, it comes to correspond to the original philosophy behind
the policy. People use their time on the RMI to acquire training, look full time
for work, set up a business without risking catastrophe, thanks to the financial
aid. But this success would seem due more to the individual’s qualities–one
of which is knowing how to grasp the opportunities offered by the program–
than to the program itself. The RMI is what recipient-actors make of it.
We cannot declare that those who remain on the RMI when they “should”
get off are utilitarians while those who get off when they “should” stay on are
ethical. Rationality and ethics are not necessarily distinct levels of discourse
and don’t have to be motivation types.
[12] Good reasons are both multiple and
“swing”; they partake of both getting off the RMI and staying on.
What is to be done with “rational action”?
1. The inactivity trap model is founded on the paradigm of narrow instrumental rationality. That model, it should be recalled, has two components.
First, it postulates that individuals only engage in wage-paid labor if the income differential is significant. Second, by using length of time unemployed
as indicator of the quality of human capital, it postulates unequal distribution
of personal resources. In this framework, rational action consists in mobilizing adequate available means for reaching economic-utility ends. Conceived
at an extremely high level of abstraction, the model is hardly likely to be invalidated because it affirms that individuals work when 1) it is in their interest
to plus 2) they have the means to do so. Up against empirical data, however
(which we admit may be overly coarse due to the nature of the files used), this
model can only account for a small percentage of observed behaviors. While
length of time on the RMI has a real influence on rate of exit into employment, “utilitarian” expectation of gain does not play the determinant role the
model attributes to it. In other words, in the instrumental rationality model,
the resources that individuals possess clearly count for much more than financial gain-seeking. This cursory critique of a just as cursory utilitarianism
is not totally insignificant when we take into account the political power of
discourse denouncing what is seen as recipients’ complacent self-confinement
within the “comfort” of the RMI arrangement. Indeed, the utilitarian argument
may be turned on its head, since 33.25% of individuals who go off the RMI
stand to gain little by doing so as opposed to 40.35% who stand to gain much
(see Table IV). And when expected gain is calculated on the basis of full minimum wage and thereby increased by 25% for all, the figures remain very
nearly the same.
Our figures so thoroughly invalidate the narrow instrumental rationality
model that it would be fair to put the result down to the cursoriness of information on individual recipients. By working on a richer, though non-represen-tative, subsample, we can push our reasoning further. Indeed, the information
collected through interviews is so rich that we slide imperceptibly toward a
completely different representation of action, that of behavior determined essentially by individual’s situation and attributes. Here the actor is less determined by any aim of satisfying his or her own interest as by objective causes
that enable him or her to self-project towards satisfying one or another interest. But here, too, no factor is really determinant, except for belonging to a
subgroup of destitute individuals so little able to choose for themselves that it
is hard to speak of action. As we have seen, the most notable phenomenon is
cause reversibility. The same social causes, understood in their relation to
each individual’s particular situation, can have quite opposite effects, or at
any rate, quite different ones. The fact of being without children or educational degree, for example, can lead an individual to go off the RMI or encourage him or her to stay on. Causes that move people to go off are also causes
that move them to stay on.
In fact, if we start with opposite anthropological postulates from opposite
theoretical worlds, the determinist conception of action ends up running into
precisely the same difficulties as narrow instrumental rationalism. Just as in
RCI, anthropology’s version of utilitarianism is postulated a posteriori, so
“habitus” is deduced from statistically regular behaviors interpreted, for our
case, thus : individuals remain on the RMI because it’s in their interest to do so
or because they have been programmed to. From both these perspectives,
there is really no point in asking individuals what they think.
2. At the end of this “reduction” in the sense explained above, it thus seems
reasonable to choose the subjective rationality model and conceive of action
in terms of “good reasons” (Boudon, 1986,1995).
[13] Reason, with a capital r,
in fact takes the form of multiple subjective reasons defined by actors as so
many instances of social and cultural utility. There are many advantages to
this choice. It is based on economical, elegant reasoning that puts forward no
strong hypotheses on blindly determined actors’ rationality. It mobilizes a
kind of common-sense verstehen sociology in that the researcher can readily
follow and share in the “good reasons” actors cite. In all the interviews conducted for this study, we as researchers could readily put ourselves “in the
place” of the individuals we met and see for each case that, if we had those
particular cultural orientations and definitions of the situation, we would
probably do the same thing–out of neither cynicism or moralism. Moreover,
when sociologists have more detailed information than actors, namely about
the nature of the job market, they readily understand that the actor’s point of
view is rational given his or her vantage point and the perception it gives him
or her of his or her chances. They understand both the “bohemians” who use
the RMI to realize a life-project and the Tziganes who use it to consolidate
their lifestyle and culture, as well as the energy of individuals whose strongest
desire is to escape the fate of being an RMI recipient, and the despair of
others, fully aware that it is impossible for them to go off. They understand,
too, the mixed nature of social work, which may both stigmatize recipients
and mobilize considerable amounts of will in them. In sum, from the perspective
of subjective rationalism, one man’s or woman’s dynamism is just as rational
as another’s apathy.
The strength of this perspective is that it proposes a verstehen hermeneutics with strong descriptive power that duly takes into account the developed
thinking of actors rather than smashing or invalidating their explanations with
an interpretive grid. It also has the non-negligeable advantage of suggesting
reasonable social policies, ones that take into account the diversity of individuals’ situations and the different types of logic they act upon. However, even
supposing we went so far as to propose a typology of reasoning and experience, the explanatory capability of the good reasons model remains slim, because we can never know what kind of tie exists between the good reasons
actors cite and their actual behavior. And since good reasons are convincing
and plausible in any case, this approach threatens to create a “Pangloss effect”
[14], just the sort of effect that proponents of the “good reasons” model
regularly denounce in the rival model, holding as it does that behaviors are
programmed by the habitus.
3. In order for subjective rationality to be more than the product of a
verstehen perspective applied to what individuals say, we would have to go
beyond description and bringing to light cognitive processes. In fact, we
would need to identify and distinguish between several types of subjective
reality, pertaining to several features in actors’ situations. When defining a
situation in terms of personal resources, we would have to connect those resources to their social distribution structure and the objective possibilities individuals have. Likewise, we would need to be able to take into account the
characteristics of an individual’s integration and identity. Individuals do not
simply follow their best interests; they put themselves on the line–their image
of themselves, their identities, the conflict between self-image and the image
others have of them–as is attested to by their experience of encounters with
social workers. To the good reasons of instrumental rationality we would have
to add, and often oppose, good ethical reasons, those that call into play the
subject’s relation to himself or herself. How are representations of one’s own
resources constructed ? How is an image of one’s own resources grasped ?
How might identities, the ways individuals internalize or reject stigmata, in
ternalize or abandon aspirations and the realizing of life projects, be modelled ?
Our distinction between two orders of good reasons is related to the fact that
we have as yet learned nothing to suggest that there is strong congruence
between objective resources and identities. If there were such congruence, the
inactivity trap model would not produce so many “aberrant” cases. Above all,
we would not understand why some of those “cases” go off the RMI without
benefiting economically from doing so.
Yet even if we could combine these two dimensions, we would surely not
obtain a satisfactory predictive and explanatory model, because the fact remains that in comparable situations some “decide” to go off the RMI and
others don’t, while still others let themselves be carried by the system. We are
thus confronted with a kind of “subject’s viewpoint” that poses real problem
for determinist and “good reasons” sociologists alike. Why do some individuals mobilize considerable energy to go off welfare while others don’t ? The
point of view constructed by the subject would itself generate good reasons,
each of which is just as coherent and convincing as the next, but the subject,
with his or her capabilities to act, is there “before” the good reasons he or she
may cite. Why do some actors seem “destroyed” by the RMI while others resist ? What do some follow a kind of cursory adaptation logic, while others get
a grip on themselves ?
[15] The “personality” construct to which many refer is
only another name for the problem, a translation of it into another language,
not a solution. Because RMI recipients are often at the very bottom, they are,
paradoxically, put through an ordeal as subjects, as individuals endowed, in
most cases, with the capability of constructing themselves as authors of their
own lives. From this point, “good reasons” sociology has to become moral sociology, a sociology of good ethical reasons “to be or not to be” a subject. Our
gradual reduction of rationality opens onto the sociological problem of freedom. It is because the RMI often has the effect of breaking down freedom that
this question once again arises. Above and beyond the resources that certain
individuals have at their disposal, above and beyond their interpretations of
their situations, some are as it were invaded by a sense of their roles as RMI
recipient, whereas others resist those roles and turn them on their head. In this
sense, they are like activists, even if first and foremost activists in the cause of
their selves. This does not mean we should abandon rational action for who
knows what arbitrary mysteries of the human soul. But we do have to remember that in each case a subject is interpreting a situation and interpreting the
resources he or she disposes of, even if it is true that he or she cannot take just
any action.
These themes are not readily admitted by sociologists; the fundamental sociological critique of humanism and Sartrian philosophy make us see them
first and foremost as metaphysical questions. But it is too easy to refuse to
consider them on these grounds. In fact, they are first and foremost methodological questions, and “reducing” rationality is first and foremost a matter
of method. We have yet to construct a method capable of grasping the subject
as subject. This study has not done so, nor even sketched a way of doing so.
Rather, having progressively “reduced” the hypothesis here, we call for developing such a method.
[16]
Interest in the diversity of itineraries and contexts for action, the subtlety
of individuals’ “calculations”, and the very possibility of action that individuals have should not lead us to dissolve sociological study in the technique
of analyzing more or less ineffable and irreducible “cases”. It remains essential to look for regularities, if not “laws”. What we need to do is reason on the
basis of associated factors, mechanisms that shape contexts for opportunities,
the ways in which aspirations are developed and acted on–rather than in
terms of individuals. This is because singular contexts can be described as
multiple combinations of various “causes”, but above all because individuals
“circulate” and “evolve”. Itineraries and trajectories give meaning to situations and contexts that appear more like tests or trials to which actors must respond than situations involving sets of causes. Regularity is more to be found
in these tests than in situations perceived as aggregations of “causes” for action. Sociologists should then ask how these tests or trials are constructed and
how the individuals who must confront them are constituted.
Our “reduction” of the instrumental rationality model remains dependent
on the methodological conditions of the exercise. We moved from quantitative analysis of over 20,000 RMI recipient files to interviews with around a
hundred recipients because the data available were too meager to allow for
more elaborate statistical analysis. The move from instrumental rationality to
the universe of good reasons is as much a methodological necessity as a theoretical requirement. Still, whatever the models and methods, it seems unquestionable that financial gain expected in going from welfare to employment
does not govern all decisions; it is only one variable among others, and not at
all the most influential one. The space of rationality thus opens up onto that of
good reasons and subjective rationality. But what we gain in interpretative,
hermeneutic capability we lose in explanatory capacity, since recompositions
of subjective rationality seem infinitely diverse. Constructing types would be
more likely to give researchers a feeling of security than to actually improve
our ability to explain. What must be explained is subject’s own capacity for
action. Or, if one prefers such terminology, we must develop a sociology of
good ethical reasons.
This conclusion, or absence of firm conclusion, at least shows that a social
welfare policy such as the RMI cannot be fully grasped or evaluated as economic policy, if only because recipients are so heterogeneous. Effective economic policy for decreasing unemployment would dictate the ultimate
abolition of the RMI to ensure that employment-dependent gain always win
out. This would mean making the poor poorer so they could ultimately stop
being poor–or so that they could become poor working people instead. But
the benefits thus accrued might well engender considerable costs, not to mention the political and moral meaning of such a decision.
Need we be satisfied, however, with the RMI as it is ? Our study seems to
suggest that welfare systems are more apt to protect individuals excluded
from the legal job market than to help those same individuals become independent. But given that our study shows utilitarianism is not the rule, we
would still have to devise welfare systems that don’t penalize persons who
want to go off the RMI by making them pay the costs of moving from welfare
into employment and undergo the risks incurred by trying to go off. It seems
obvious that we should further develop sliding-scale unemployment benefits
(Belorgey, 2000; Godino, 1999). Furthermore, individuals who go off the
RMI are not only facing the difficulties of the job market; they also take risks
that nothing but the weight of the welfare system itself can explain. In saying
this we are not calling into question the soundness or utility of these policies.
Let us underline two major obstacles to getting off the RMI and into work.
First, the complexity of existing welfare programs and the procedures they involve. This gives rise to extremely high “conversion” costs and accentuates
individuals’ dependence, since they can’t get a handle on welfare programs
without the help of specialized intermediaries – ie, social workers. The complexity facilitates rule-breaking, slippage in applying policies and granting aid
–defects that adroit individuals can use to their advantage. Finally, as this
study shows, it would be simplistic to reason in terms of an opposition between unemployment and employment. Individuals don’t simply choose to
have a job and income; they also choose the content of the work. And as we
know, RMI recipients are often offered the most precarious, unpleasant, devalued jobs. They are in the front line when it comes to the worsening working conditions that characterize many jobs available to the least skilled today
(Paugam, 2000). Getting back into work brings with it the problem of working
conditions, a problem somewhat neglected in times of chronic unemployment.
Wage-paid employment is not all it takes to construct a social actor; the content
of the work plays a major role, if not a greater one. If we want to help individuals get back into work, that work has to be acceptable. If it is not, why should
actors choose to quit the ranks of one subproletariat only to join another ?
Translation: Amy Jacobs
Previously published: RFS, 2001, 42, 3
TABLE V.
Logistic regression on variables
TABLE V. – Logistic regression on variables
Variables B coefficients Significance B Exponent R (partial R2
correlation (Nagelkerke)
coefficient) overall
R2 = .136
Year enrolled in RMI.1371 .058
1989 Reference – –
1990 .0678 NS* 1.0701
1991 .2266 .0239 1.2543
1992 .2491 .0069 1.2829
1993 .4767 .0000 1.6108
1994 .5565 .0000 1.7446
1995 .7133 .0000 2.0407
1996 .9721 .0000 2.6435
1997 1.2352 .0000 3.4390
Outside resources.1763 .098
No Reference – –
Yes .9944 .0000 2.7031
Household type.0771 .122
Single parent Reference _ _
Single living alone .6447 .0000 1.9053
Couple no children 1.0181 .0000 2.7678
Couple, children .3210 .0001 1.3785
Age group.0808 .133
55 and over Reference – –
< 25 .2650 .0270 1.3034
25-34 .5500 .0000 1.7333
35-44 .2320 .0043 1.2611
45-54 .0192 NS* 1.0194
Residence area.0272 .135
Poverty pocket Référence – –
Urban .0983 .0278 1.1033
Urban outskirts .2320 .0003 1.2612
Rural .2216 .0000 1.2480
Income differential
(3/4 min. wage).0250 .136
89-99 Reference – –
100-114 -.1711 NS* .8428
115-135 .1741 .0366 1.1902
136-156 .2883 .0166 1.3342
157-177 .7094 .0000 2.0328
178-196 .3472 .0040 1.4151
Note: NS: not significant at the.05 level. For each variable we chose a reference situation; exit chances of
persons in every other case were compared to those of recipients in the reference case. When the B coefficient is positive, exit chances increase. The higher the B coefficient and the further from 0, the greater the
likelihood recipients in that case will go off relative to those in the reference case. The significance column
is meant to ensure that coefficients are statistically significant. Coefficients have to be below 0.05 to be able
to say that there is a 95% chance of not being mistaken if we affirm that this modality will indeed affect exit
chances. Exp (B) is the coefficient exponent, an “odds ratio” measuring “risk ratio”. The higher it is, the
greater the chances are that recipients will exit the RMI–as always, relative to those in the reference situation. Thus, the chances of 25-34-year-olds are on the average 1.73 times greater than for persons over 54
(reference category). In other words, persons in that age group are 73% more likely to exit the RMI. When
the B exponent is less than 0 (associated with a negative B coefficient), this means decreased exit chances.
Coefficients can only be compared if they pertain to modalities of the same variable.
This model provides very little in the way of explanation for exiting or
staying on the RMI : Nagelkerke’s R2 is particularly low (varying from 0 to 1).
As mentioned, the absence of important independent variables (eg, skill level,
health, undeclared resources, etc.), together with the absence of clear indications about the nature of “exits” from the RMI, definitely undermine the
model, especially since the value of the coefficients for each variable depends
on the other variables in the model. This means that coefficient values would
change if other significantly explanatory variables could be introduced.
It is useful to look at the relative contribution of each variable to goodnessoffit between model and empirical data. The regression is therefore constructed by introducing the variables one by one in ascending order of their
“predictive capacity” according to the model (this is based on “maximum
likelihood”). In the table, they are presented in descending order of contribution to the model. The R2 column shows how the increase in overall R2 varies
when another variable is introduced. Each dependent variable’s contribution
in explaining the independent variable (in this case exit from the RMI) is determined by the partial correlation coefficient R, which varies from–1 to +1.
Given R values and increase in R2, it should be noted that the “income differential” variable, which is at the core of the utilitarian reasoning behind inactivity traps, contributes least. When the “expected income differential”
variable is added to the preceding ones, R2 only increases by 0.001, from
0.135 to 0.136. As was the case for the data in Table IV, income differential
counts for less than the aggregation of variables concerning individual’s personal characteristics, while these variables themselves, or what we know of
them here, weigh very little on the set of “causes”.
Logistic regression analysis using the supplementary variables of sex and
nationality shows neither of them playing a significant role. Age, on the other
hand, is a relevant element in likelihood of going off the RMI. The fact of being in a couple without children increases likelihood, while that of living in a
poverty pocket confines one to welfare. This last point supports the hypothesis that there are indeed welfare ghettoes. The inactivity trap model can be
amended, but it can never be fully convincing, namely because the financial
gain individuals expect is not decisive for going off the RMI. There is nothing
original in this anti-utilitarian-rationality conclusion, but it’s worth stressing,
if only to help dismantle the widespread notion that poor people don’t work
because it’s not in their interest to do so.
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[(1)]
[RMI : Revenu Minimum d’Insertion
(Minimum income for socio-economic integration), created in 1988. All persons over 25 whose income is below a cer ta in level
(household resources included) are eligible to
apply for this welfare benefit.]
[*]
Our thanks to Georges Félouzis and Joël
Zaffran for their assistance in processing the
statistical data used in this study.
[(2)]
In the present situation of renewed
economic growth and decreasing unemployment,
where it is difficult to recruit manual workers in
sectors such as construction and public works,
this type of reasoning is necessarily gaining
gr ound : welfa re aid mus t be reduce d to
stimulate employment. Unions cite the same
re ason in dem anding an increa se in the
minimum wage.
[(3)]
We have put the word disincentive in
quotation marks to stress the fact that while we
do have methods of assessing possible financial
incentive for returning to employment, we can
in no way use the same methods to assess disincentive effects because, among other things,
they don’t take account of “expectations about
future situation. Deciding to work does not
depend solely on level of remuneration offered
in the immediate present” (Jankéliowitch-Laval
and Math, 1997-1998).
[(4)]
This article uses material collected in
response to a call for study proposals from the
Commissariat Général du Plan (Vérétout et al.,
2000).
[(5)]
At a rate of 35.8 RMI recipients for
1,000 inhabitants, the Gironde is above the
national average, while the structure of the
recipient population there is very similar to that
for the nation as a whole.
[(6)]
We also looked at a cohort study of RMI
recipients enrolled in 1989 (Cordazzo, 1999),
following the m through 1995. The study
enabled us to refine the data but as it did not
affect the analysis it will not be taken into
account here.
[(7)]
We quickly rejected as irrelevant the
hypothesis of income amountin g to half
minimum wage : too few RMI recipients would
stand to gain significantly.
[(8)]
It should be remembered that the files
contain no information on recipients’ educational and occupational qualification levels,
thou gh we know this variable play s an
important role in one’s chances of being hired
(Afsa and Guillemot, 1999; Rouault-Galdo,
1991; Wuhl, 1990).
[(9)]
Probability of going off the RMI was
calculated on the basis of the following logistic
regression : prob. of exit from RMI = 1/1+e
-z,
whe re z is the linear combination of
independent variables X1 (length of time on
RMI), X2 (household type), X3 (age group), X4 (residence zone), X5 (income differential for
three- four ths minim um w age). z thu s =
B0+BX1+BX2+BX3+BX4+BX5. Individuals
with exit probability above 0.5 constitute the
group of persons for the period June 1997 to
December 1998 who “should” go off the RMI,
while those with probability below 0.5 are in
the opposite case. The threshold was not
chosen arbitrarily; it is at this point that the
data best fit the model. We then constructed
our sample out of strongly contrasted situations, selecting only individuals whose exit
probability was above 0.6 or below 0.4.
[(10)]
In exchange for the RMI welfare
benefit, recipients are required to look for a job
and take other steps toward social integration.
This requirement takes the form of a contrat
d’insertion or integration contract.
[(11)]
As a means of stigmatizing Lewis’ work, we find this critique fundamentally unfounded
and unjust.
[(12)]
Clearly this distinction is not to be understood here as a sophisticated variation on that
between “good” and “bad” poor people.
[(13)]
Raymond Boudon may be said to have
gone fr om a nea r-utilitar ia n soc iologic al
per spective ( 1979) towar d a co gnitive
sociology of good reasons more sensitive to
argumentation modes (1995).
[(14)]
[Pangloss was Candide’s tutor, renowned for his affirmation that “things cannot be
otherwise than they are”.]
[(15)]
This question is not quite out of the
blue; it is often asked regarding political,
union, or religious activists who resist the order
of things though they have no incentive for
doing so, or minor ities such as those in
Milgram’s experiments who don’t play the
game by the rules.
[(16)]
If CAF files were richer in information,
we would no doubt have reached more satisfying results at each of the classic research
stages, but in the end the problem would still
not have been treated.