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Volume 60 2005/1-2

2005 Population

Partner Supply in Britain and the US

Estimates and Gender Contrasts

Máire Ní Bhrolcháin  [*] Máire Ní Bhrolcháin, Division of Social Statistics, School of Social Sciences, University of Southampton, Southampton SO17 1BJ, UK Wendy Sigle-Rushton  [**]
Marriage market estimates by sex and age are made for the US and England and Wales in 1990-91, using explicit data on age preferences. Availability is strongly differentiated by age and sex; it decreases with age for women, while the opposite is true for men. Decomposition shows that young women are advantaged largely by age preferences while older men are advantaged by population age-sex and marital status structure. Most men marry at ages when partners are in short supply, a finding that is examined in detail. Implications for gender power relations through the life course are considered. Nous présentons des estimations de l’offre de conjoints potentiels par sexe et par âge, pour les États-Unis et pour l’Angleterre-pays de Galles en 1990-1991, en utilisant des données explicites sur les préférences d’âge. L’offre varie considérablement en fonction de l’âge et du sexe : pour les femmes, elle décline avec l’âge, tandis que c’est l’inverse pour les hommes. La décomposition des données montre que les femmes jeunes sont largement avantagées par les préférences d’âge, tandis que les hommes plus âgés sont avantagés par la répartition de la population par âge et sexe et par statut matrimonial. La plupart des hommes se marient aux âges où l’offre de partenaires est peu importante. Ces phénomènes font l’objet d’un examen approfondi et nous étudions leurs conséquences sur les rapports de force entre les sexes aux différents âges de la vie. En este artículo presentamos estimaciones de la oferta de cónyuges potenciales por sexo y por edad para los Estados Unidos e Inglaterra y el País de Gales en 1990-1991 en base a datos explícitos relativos a las preferencias de edad. La oferta varía considerablemente en función de la edad y del sexo: para las mujeres, tal oferta disminuye con la edad, mientras que para los hombres sucede lo contrario. La descomposición de los datos muestra que las mujeres jóvenes juegan con ventaja debido a las preferencias de edad, mientras que, para los hombres de más edad, tal ventaja se deriva de la estructura por edad, sexo y estado civil de la población. La mayoría de hombres se casa en edades a las cuales la oferta de cónyuges tiene poca importancia. En este artículo analizamos tales fenómenos en profundidad y estudiamos sus consecuencias sobre las relaciones de género en diferentes etapas de la vida.
Following on from previous studies of the marriage market process, this article aims to define a better indicator of partner availability, with the incorporation of partner age preferences as a key innovation. Máire Ní Bhrolcháin and WendySigle-Rushton replace the weights generally based on sex ratios or estimated from observation of respective male and female ages at marriage with the age preferences expressed by the clients of a dating agency. This innovation reveals that though older men are advantaged by the marriage market structure, young women are advantaged by age preferences.
How many potential partners are available to men and women of varying ages and are there significant cross-national variations in availability? Although demographers and sociologists have a keen interest in the operation of marriage markets, we have relatively few answers to these questions. A classic paper of two decades ago commented that “surprisingly little effort has been expended on determining the relative supply of men and women in the ‘marriage market’” (Goldman et al. 1984) and this observation remains true. The last decade or so has seen a vigorous expansion in research on local marriage markets and a wide variety of measures have been employed in such studies, most involving sex ratios of one kind or another (e.g. Lichter et al. 1991, 1992; South and Lloyd 1992; Raley 1996; Lewis and Oppenheimer 2000; Blau et al. 2000). Extensive investigation has shown that, for black populations in US metropolitan areas, sex ratios specified in a variety of ways are closely correlated among themselves, and that some are moderately highly correlated with measures of marriage prevalence and family structure (Fossett and Kiecolt 1991). Comparable analyses of white populations seem not to exist. But local-level studies are more analytical than descriptive in purpose, and the facts of partner supply tend to go unreported. In this paper we turn the focus back on partner supply itself, presenting estimates of partner availability by age and sex for Britain and the US in 1990-91. We examine sex differentials, provide validation of the estimates presented, and explore a curious finding regarding male marriage. We discuss also some implications of the results for gender relations across the life course.
Early studies of relative numbers addressed particularly the relationship of partner availability to marriage rates and used measures acknowledged to be fairly crude, based on sex ratios specified largely arbitrarily (Goldberg 1965; Akers 1967; Hirschman and Matras 1971; Muhsam 1974). The Availability Ratio (AR) devised by Goldman et al. (1984) was a decided advance on these approximate indicators, incorporating a wider range of acceptable age matches and making sophisticated allowance for competition. The female Availability Ratio was defined as the number of suitable men for a particular woman divided by the average number of suitable women available for that woman’s suitable men, with suitability specified primarily in terms of age, but also with respect to education. A difficulty, however, is that the sum of availability ratios for each sex is not, in general, equal to the total number of unmarried potential partners in the population. This difficulty was resolved by Lampard’s (1993) Iterated Availability Ratio (IAR) which respecifies the original Goldman et al. Availability Ratio in such a way that the IARs for each sex sum to the total number of potential partners of the opposite sex, clearly a desirable property. This is the indicator used in the present study, and details of the specification are given in the next section.
 
I. Estimating potential partner availability
 
 
1. Iterated Availability Ratio
Ideally, a partner supply measure should be embedded in a well grounded behavioural model of the marriage market that gives clarity to the availability concept and specifies its empirical form. In addition, the indicator would need to be well validated. Since such a model is not yet available, a definitive measure cannot yet be specified. One empirical difficulty is the fact that partner supply is, ultimately, an individual-level concept and can strictly be measured only via individual-level data. Not only is such information not available, it is not at all clear how the number of potential partners available to individuals would be defined and measured.
In the absence of a definitive, well-validated direct measure of partner supply, we use the indicator with the best theoretical rationale currently available, Lampard’s (1993) refinement of the Goldman et al. Availability Ratio. We use the weighted version of the Iterated Availability Ratio given in Lampard’s equation 3, the λij weights representing the joint suitability, on age grounds, of women and men of each age combination.
Our estimates improve on those of Goldman et al. and Lampard in representing age-suitability by directly measured partner age preferences, thus eliminating the need to infer preferences from the age combinations observed in marriages in an arbitrary year, a procedure which, as previous authors acknowledge, has the disadvantage of in-built circularity (actual age matches in a year result from a mix of preferences and age-sex structure in that year). The preference weights are calculated from a sample of 32,326 clients of a British dating agency in 1996, asked to specify the minimum and maximum age of partner, in single years, that they would be willing to consider. From this information we estimate αij, the proportion of women aged i who would accept a man of age j, and βij, the proportion of men aged j who would accept a woman aged i. The λij weights for the IAR are the product of the male and female acceptance probabilities for corresponding ages: that is, . We refer to the λij as the joint preference of women aged i and men aged j. The IAR for woman i is defined as the iterative solution to:
where the outermost summation extends over all unmarried men, and the summation in the denominator term extends over all unmarried women, aged 17-70.
Because we characterize participants by age only, all individuals of each sex who are the same age have the same joint preference profile and, consequently, the same availability ratio. The availability ratio for man j is specified correspondingly as:
Illustrating via the male case, the element of IAR j within the summation corresponding to woman i:
can be considered (though this may appear strange) a measure of man j’s share of woman i, given their joint preference, the other women in the marriage market, and the competition for those other women, in the light of their own and their potential partners’ joint preferences (Lampard 1993). The greater their joint preference, the less numerous the other women available to him, the fewer his competitors for woman i, the lower his competitors’ interest in woman i or hers in them, and the more alternative women are available to his competitors, then the greater man j’s share of woman i will be. Like its parent, the Goldman et al. Availability Ratio, Lampard’s IAR is complex in construction and richer in conceptual underpinning than sex ratios, the principal alternative measure.
2. Definitions
We define as in the marriage market those who are legally unmarried (single, divorced and widowed) and are therefore in a legal position to marry. However, not all those who are unmarried are candidates either for marriage or for heterosexual relationships. The following groups are problematic:
  1. Higher proportions of gays or lesbians would be expected among the unmarried but their inclusion is unlikely to bias our estimates very much because the availability ratio is a measure of relative numbers and gay men will be offset to a large extent by lesbian women, these two groups having a similar age structure.
  2. Unmarried people who are seriously ill or incapacitated and religious celibates are also unavailable for marriage. In the age range 17-60, the proportion can be assumed to be very small. Also both sexes are involved and are probably of similar age. For these reasons, their inclusion is unlikely to bias our measure.
  3. Marriage market estimates could be based either on those formally unmarried, as here, or on those not currently in a partnership. The choice is arbitrary. While its relatively high prevalence in 1990-91 makes unmarried cohabitation potentially problematic, it is in fact less so than might be supposed. In principle, cohabiters who are unmarried can legally marry but, having already found a partner, they are not entirely available as potential partners for the unmarried who are not cohabiting. However, cohabiting relationships are less stable than formal marriages (Prinz 1995, Table 4.15; Thornton 1988; Bumpass and Sweet 1989) and cohabiters report more new sexual partners in the past year than do married people (Johnson et al. 2001). So, cohabiters are more likely to be available as potential partners than are the married, and are not entirely outside the market for partners. More importantly, any availability indicator measures relative numbers, and it transpires that unmarried cohabiters of each sex largely offset each other, with little net impact on availability ratios. Using 1995 Current Population Survey (CPS) data for the US and the 1991 Labour Force Survey (LFS) for Great Britain, IARs for the unmarried are found to be very close to those for the unpartnered (those neither married nor cohabiting). In the CPS, the difference is no more than 1% at ages under 40; at ages 40+, female IARs for the unmarried are up to 3% higher than for the unpartnered and male IARs up to 5% lower. The differences are slightly larger, but still minor, in the British LFS of 1991, with female IARs for the unmarried higher than for the unpartnered by an average of 1% at ages 20-29, 3% at ages 30-39, and 3-4% at ages 40+, and male IARs about equal at ages 20-29, lower among the unmarried by 2% at ages 30-39 and by 4-5% at ages 40+. Thus the principal effect is that the gender gap at older ages is narrower if availability indicators are based on the unmarried rather than on the unpartnered.
  4. The relatively high frequency of involvement with another partner prior to marital breakdown and some fairly rapid re-entries into a new partnership after separation/divorce imply that some of the currently married are active in the (re)marriage market (South and Lloyd 1995, Table 1; Sweeney 2002). Excluding married people who are active in the marriage market from the pool of eligibles could bias our estimates. The bias would depend on how much their age-sex structure differs from that of the unmarried population and how far married men and women offset each other. Attempting to estimate this would be pure guesswork — restricting estimates of availability to those currently in a position to marry formally is conceptually clearer.
3. Characteristics other than age
Many recent marriage market studies incorporate characteristics other than age as constraints on matching, notably education and economic status, particularly of men (Goldman et al. 1984; Lichter et al. 1992; South and Lloyd 1992; Qian and Preston 1993; Wood 1995; Raley 1996; Lewis and Oppenheimer 2000; Blau et al. 2000). However, we choose not to include additional matching factors (apart from race, as we confine our US estimates to the white population) for two reasons. First, our objective is to estimate relative numbers in pure demographic terms. Evidence of long standing that marriage rates are positively associated with economic conditions (Yule 1906; Glass 1938; Galbraith and Thomas 1941; Oppenheimer 1994, 2000; Oppenheimer et al. 1997) means that the marriageability of available potential partners in economic terms is a function of economic rather than of demographic conditions, our primary concern here. Potential marriage opportunities, and any constraints on these, resulting purely from numbers by age — demographic structure — can and should be distinguished from those grounded either in the economy or in social practices such as endogamy within social class, educational, ethnic, racial or religious groups. Second, information is lacking both on the nature of preferences for personal attributes such as education or employment status and on how rigid or flexible these are. The explicitly stated age preference data we use here reveal that age preferences are more flexible than is often assumed and also that sex differentials in age preferences are in some respects at variance with common supposition (Ní Bhrolcháin 2001). The same may be true of preferences for social characteristics. Finally, Goldman et al (1984) show that estimates of partner availability are highly sensitive to assumptions regarding educational assortative mating and hence satisfactory estimates incorporating educational and other social attributes cannot be made without a firm basis for the preferences assumed.
4. Age preference weights
Summary information on the age preferences is given in Figure 1 which shows the mean preferred age difference by age and sex in the UK Dateline data, together with mean observed age differences at marriage in the US 1990 and in England and Wales 1991. Clearly, the profile by age and sex of the mean preferences corresponds well with observed age differences in England and Wales 1991. Furthermore, since the US 1990 averages are very close to those for England and Wales 1991, the mean preferences correspond well with the US 1990 age differences also. While the British preference data are seen in Figure 1 to apply equally well in the two countries in 1990-91, a further advantage of using the same weights for comparative purposes is that they can be seen as having a standardizing role, thus allowing the relevant aspects of population structure to be compared fairly. Note that the discrepancies between preferred and actual age differences for each sex are consistent with the idea that each sex’s preferences constrain the actual age difference of the other sex. At younger ages, women would prefer a larger age gap than they achieve and men would prefer a smaller one than actually occurs; at older ages the opposite holds, in both countries.
Figure 1
Preferred (1996) and actual mean age differences between partners, US (white population) and England and Wales (1990-91)
IMGIMGPreferred (1996) and actual mean age differences b...IMGIMF
Note: US = United-States; E & W = England and Wales.
Source: Dateline 1996 for the preference data; US 1990: National Center for Health Statistics (1997); England & Wales 1991: unplublished tables provided by the Office for National Statistics.
While the age preference data relate to the age range 18-60 it is necessary to extend the age range down to 17 and up to 70. Dating agency clients are aged 18 and above but some men specified 17 as the lower limit of their preferred partner age range. Because the weights are joint preferences, this meant that preferences had to be estimated for 17-year-old men and women. Weights were attributed to 17 year olds by assuming that their preferences were the same as those of 18 year olds, lagged by one year: that is, for women, the α17,j were set equal to α18, j + 1, and missing male weights were attributed in the same way. Weights expressing the preferences of women/men aged 60+ are unavailable because both clients’ ages and the preferences are top-coded at age 60. Experiments with attributing preferences at ages 60-70 revealed that omitting 60-70 year olds could result in substantial bias in the estimates of availability at ages 50-60, for both sexes. Accordingly, we extrapolated the age preferences up to age 70, but report availability ratios only to age 60. The structure of preferences was found to be very similar across single years in the 50-59 age range, and so preferences for and of people aged 60-70 were assigned as follows, for each sex: a) age difference of up to +10 years: average of the single-year preferences of people aged 50-59; b) age difference of 11-15 years: average of the single-year preferences of those aged 45-49; c) age difference larger than +16 years or very large negative age differences (partner younger) were set to zero [1]. The imputation at older ages means that the estimates of availability are less solidly grounded at older than at younger ages. However, IARs at older ages based on these assumptions are, in fact, very similar in level to sex ratios with a 3-year gap in all age-sex distributions examined, and thus little different from alternative conventional measures.
5. Age sex distributions
The England and Wales data used are mid-year population estimates by sex, marital status and single year of age, 17-70, for 1991. These are rolled forward from the 1991 Census, the final figures for which were based on a combination of demographic analysis and the age-sex distribution of the enumerated population; they therefore incorporate adjustments for selective underenumeration by age and sex (Heady et al. 1994). For comparative purposes, we use US 1990 census data, drawn from the Integrated Public Use Microdata Series (Ruggles and Sobek 1997). We confine the sample to the white population because marriage patterns and marriage markets in the black population differ from the white [2]. Sample numbers by age, sex and marital status are adjusted for undercount by the factors given in Robinson et al. (1993: Table 3). These factors are for 5-year age groups and are not specific by marital status and so we apply them to each single year age within 5-year age groups without reference to marital status. We have also made estimates of partner availability for all 20th century census years for which data were available in England and Wales and the US, the results of which are reported elsewhere. We refer occasionally in this paper to selected findings from the historical series.
 
II. Findings
 
 
1. Age pattern
The levels of partner supply by age and sex as assessed by the iterated availability ratio are given in Figure 2 for the US, 1990 and England and Wales, 1991. Partner availability peaks for women at very young ages and declines thereafter. The opposite is true of men: the youngest men have the fewest potential partners available, but partner supply increases with rising male age. Availability for women at age 18 reaches an average in 1990-91 of 1.8-1.9 potential partners, remains above 1.0 until the early to mid 30s and by age 60 has declined to 0.45 (US) and 0.59 (E & W), though, as noted above, estimates of partner supply for women in their 50s depend heavily on the validity of our age preference assumptions beyond age 59. Among men, average partner supply is 0.4 at age 17, reaches and goes above 1.0 at around 30 in the US and at 45 in England and Wales (though also, briefly, at age 30) and then rises to 2.0 (US) and 1.6 (E&W) by age 60. On these estimates, a 50-year-old American man had around the same number of potential partners as an American woman of 20 in 1990, and, in Britain, a man of this age was in the same position as a 26-year-old woman, in 1991. Partner supply for a white woman of 50 in the US in 1990 was, at 0.6 per woman, about on a par with the situation of a 20-year-old man, while in Britain in 1991 a woman of this age was, at 0.9 potential partners, on a level pegging with a 25-year-old man. Partner availability is, thus, highly differentiated by age and sex, with a range by age of 1.3-1.4 potential partners per woman, and ranges of 1.2 and 1.6 partners per man in England and Wales and the US, respectively. The decline in partner supply with rising age for women and the increase in supply with age for men is common to other twentieth century census dates in both countries, though there is considerable variation through time in the precise ages at which partner supply for each sex reaches parity. Although not true of earlier periods, absolute levels of partner supply in the two countries are virtually identical in 1990-91 for both sexes up to the mid-30s, but diverge at older ages. British women of 40+ had around 14-23 more potential partners per 100 available than their American counterparts in 1990-91. The comparative position of older men is the reverse, with average partner supply for men of 40+ between 21-41 per 100 higher in the US than in England and Wales.
Figure 2
Iterated availability ratios by sex and age. US 1990 (white population) and England and Wales 1991
IMGIMGIterated availability ratios by sex and age. US 19...IMGIMF
Source: Dateline 1996 for the age preference data. US Census data 1990 and England & Wales population estimates 1991.
Previous estimates of partner supply for 5-year age groups for the US 1970 and 1980 are given by Goldman et al. (1984) and for England and Wales 1981 by Lampard (1993). The broad lines of age and sex differentials are common to all three sets of figures, though the absolute values do not always agree. In comparison with the corresponding figures of Goldman et al. our estimates are similar at ages 20-24, higher for both sexes from the late 20s to the late 30s and higher for women and lower for men at ages 40-44 and above. Our 1981 figures are below those of Lampard for both sexes at ages 20-29, comparable in level in the 30s and less extreme for both sexes at ages 40+, as in the case of Goldman et al.
2. Sex differentials.
In pure demographic terms, then, and taking these figures at face value, men and women of the same age encounter quite dissimilar levels of partner supply at most ages. In 1990-91, average availability for women far exceeds that for men at younger ages and the reverse is true at older ages. In both countries in 1990-91, unmarried women aged 20-24 had between 34% and 163% more potential partners on average than did men, and those aged 25-29 between 8% and 28% more. Among those in their 30s, partner supply for the two sexes was not greatly out of balance in England and Wales in 1991, with a female advantage of between 4% and 8%, but in 1990 in the US average partner availability for women in their mid-30s and above was well below that of men. From age 36 onwards in the US, and from 46 on in England and Wales, men had at least 15% more potential partners on average than did women, a male advantage that increased with age. Much the same is true throughout the twentieth century. Adopting as a criterion of gender balance a ratio of female to male partner supply in the range 0.95 to 1.05, partner supply has been in balance at relatively few single year ages over the course of the twentieth century in the two countries. Of the 17 censuses from 1900-91 in the US and England and Wales for which we have estimated IARs (Table 1), the female/male ratio was in the range 0.95-1.05 at 3 or fewer single years of age in 14, this was true of 4 single years of age at two dates and in one case partner supply was in balance at 7 single year ages. Not only has gender balance in marriage market position usually been confined to a restricted age range, it occurs largely at ages when the majority of women and men are already married. In 11 of the 17 census years examined, the male availability ratio does not reach within 5% of the female value before age 29, and in 7 census years, gender balance, on the present definition, does not occur before age 35. In all, women have a decided advantage over men in relation to partner supply at the prime ages of both male and female marriage, even in some cases of poor female marriage markets. We return to this issue in a later section, having first examined the factors influencing the IAR.

Table 1
Gender balance in partner supply: ages at which the ratio of female to male IARs is in the range 0.95-1.05
IMGIMGCensus year Number of ages with gend...IMGIMF
Census year Number of ages with gender balance Ages at which balance occurs Us England & Wales Us England & Wales 1900-01 1 – 38 – 1910-11 2 1 41-42 22 1920-21 3 1 41-43 21 1930-31 – 0 – – 1940-41 4 – 30-33 – 1950-51 3 2 30-32 28-29 1960-61 2 1 35-36 39 1970-71 1 1 23 45 1980-81 1 3 25 41, 43-44 1990-91 4 7 30–33 32-33, 35, 41,43-45 – : data unavailable. Source: authors’ estimates based on Us Census 1990 and England & Wales population estimates 1991.

3. Determinants of partner availability
What accounts for age and sex differentials in partner supply? Decomposition can answer this question in relation to demographic determinants. There are two inputs to the iterated availability ratio: the age preference weights and the age-sex distribution of unmarrieds. The age-sex distribution of the unmarried population can, in turn, be expressed as the product of overall age-sex structure and the proportions unmarried by age and sex. Of these factors, the preference weights are a major influence on the profile of partner availability by age and sex at ages under about 35. This is shown in Figure 3 which plots IARs obtained for a population with a rectangular age distribution, thus removing the effect of population structure. The weights being the sole influence on the pattern of availability in Figure 3, age preferences clearly account for the basic age pattern of decline from abundant supply at young ages for women, and for the increase from shortages at young male ages. Between the mid 30s and the late 40s, preferences for both men and women remain fairly level at around parity, but with a slight female advantage. By the late 50s, age preferences create a small female disadvantage and a corresponding male advantage — but the pattern at these later ages is, of course, heavily influenced by the extrapolated preferences beyond age 60. Young women benefit from the structure of preferences both because their joint preferences remain high over a wide range of male ages and because they have little competition from older women for the young men of their own age, or a little older, who interest them. The opposite is true of young men, who are doubly disadvantaged by the more restricted range of female ages over which joint preferences are high, and by competition from older men for the young women who both interest them and would accept somewhat older men [3]. With rising age, men progressively favour larger age differences, but this appears to produce little pure preference-based advantage in their 50s because of competition for women in their 50s from older men — assuming, of course, accuracy in the assigned preferences. The difference between the actual availability ratios for the unmarried and those obtained in a rectangular age structure measures the effect on availability ratios of the overall age-sex distribution and of structure by marital status and is plotted in Figure 4A; the overall structural effect is further decomposed into effects due to age-sex structure and to marital status composition, shown for women and men in Figures 4B and 4C respectively [4] These two factors combined give a boost to younger women’s partner supply (responsible for an additional 15 potential partners for 100 women aged 18 in the USA and an additional 21 in England and Wales), but have little or no impact on availability for younger men, in both countries in 1990-91. The structural advantage to young women is about evenly divided between age-sex and marital status components. At older ages, age-sex structure and marital status have a much larger effect, especially for men. For example, by age 55, the overall structural effect is responsible for an additional 50 potential partners per 100 men in the US and 21 per 100 in England and Wales; the corresponding reductions for women of this age are 46 per 100 and 28 per 100, respectively. Structure by marital status rather than by age is the larger of the two components in absolute terms at older ages in both sexes. Both structural effects are more pronounced in the United States than in England and Wales, in 1990-91.
Figure 3
Simulated iterated availability ratios for a population with a rectangular age structure
IMGIMGSimulated iterated availability ratios for a popul...IMGIMF
Figure 4
Decomposition of age and sex differentials in iterated availability ratios
IMGIMGDecomposition of age and sex differentials in iter...IMGIMF
(A): Overall effect of population structure by age and sex and by marital status;
(B): Effect of age-sex structure and marital status components for women;
(C): Effect of age-sex structure and marital status components for men.
Source: Dateline 1996 for the age preference data. US Census data 1990 and England & Wales population estimates 1991.
In sum, preferences are the main explanation for levels and sex differentials in partner supply at younger ages in 1990-91. Young women have an abundant supply and young men a shortage of potential partners largely because of age preferences, though young women also enjoy a small boost to their opportunities from population structure. With rising age, gender disparities in relative numbers and especially in the proportions currently married create a progressively larger gap in men’s favour. Thus, in 1990-91 older men in both countries are doubly advantaged in the marriage market, and older women doubly disadvantaged, by age-sex structure and by sex differentials in marital status, with the second of these playing by far the larger role. Note that the size, at older ages, of all three components identified here (preferences and structure by age and by marital status) is influenced by the attribution of preferences at ages 60-70. However, there is little doubt about the existence and direction of gender differences at older ages since sex ratios with a 3 year gap among the unmarried at these ages were well below 1.0 in both countries in 1990-91.
4. A paradox?
A curious feature of gender differences in the demography of marriage came to light earlier — an apparently substantial gender asymmetry in partner availability around the peak ages of marriage. Partner supply is most abundant for women before and at the prime ages of female marriage, but male marriage markets are at their worst, in relative terms, at the ages at which most men marry. Most women, it appears, marry when the supply of partners is to their advantage and the majority of men at ages when their marriage market situation is unfavourable. In both the US and England and Wales in 1990-91 the earliest age at which the male IAR reached or exceeded 1.0 was 30; 71.6% of American and 61.2% of British men of this age were ever married [5]. The corresponding figures for American women are 86.9% ever married by age 33, and 88% of British women ever married by age 36, when the female IARs in each case reached or fell below 1.0. This gender disparity is true of all census dates examined in the present study with the exception of the early decades of the twentieth century in England and Wales. In all US censuses 1900-90 (no data are available for 1930), at least 77% of women were ever married and from 1951 onwards in England and Wales at least 79% were so by the age at which female availability ratios dropped below 1. This is true even in the very unfavourable US female marriage market of 1970: although the female availability ratio was below 1.0 by age 23 in that year, 77% of 23 year-old women had already been married. At least 67% of white American men in all years except 1980 (when the figure is 59%) and at least 78% in Britain from 1950 onwards (but 61% in 1991) were ever married by the age at which with average partner supply reached parity [6]. Even if we relax the definition of parity in partner supply to the range 0.95 to 1.05, the finding remains broadly true: 69%+ of British and American women from 1950 onwards, 59%+ of American men and at least 70% of British men in 1951-81, but 50% in 1991, were already married by the age at which the availability ratios reach the range 0.95-1.05. An exception occurs in England and Wales in 1911-31 when only a minority of both sexes (about 20-33%) had married by the ages at which the marriage market favoured men, reflecting both the low marriage rates and relatively low sex ratios in Britain during that period.
 
III. Further investigation
 
 
Do these findings reveal a neglected feature of male marriage? Are the majority of men at a disadvantage in the marriage market around the time of marriage and if so, what are the implications? That most men in developed societies should marry when partner supply is relatively poor for them is not empirically impossible. Marriage rates at each single year of age are well below the maximum possible [7], and so there is no numerical paradox here. The possibility of such an effect at the aggregate level has also been noted in the literature, though not in relation to the life course (Martin 1963; Muhsam 1974; Guttentag and Secord 1983) [8]. But the finding requires further scrutiny. In pursuing it, we encounter several issues relating to the nature of marriage markets that need conceptual and empirical clarification. The validity of the observation that most men marry in poor marriage markets and most women in good markets depends on two main elements: (A) the validity of our measure of partner supply; and (B) whether a given level of availability has the same significance for men and women. We consider each of these in turn, together with some ancillary factors.
1. Validity of Iterated Availability Ratio measure
The availability ratios calculated here are for aggregate groups — i.e. groups of men and women at single years of age. Partner supply is, strictly, an individual level concept. How valid is the IAR as a summary of the marriage market position of individuals of each age? As noted earlier, there appear as yet to be no studies that attempt to validate availability ratios or any of the wide range of partner supply indicators used in the marriage market literature against individual level data. Since an independent criterion of supply is not available, we proceed indirectly, examining first evidence of the validity of the Dateline dating agency preference data. We then look at the correspondence between the IAR and sex ratios, consider an indirect indicator of imbalance in the marriage market, and finally examine the relationship between availability ratios and marriage rates.
Validity of the dating agency preference data
As the age preferences used here appear to be the only detailed, large scale explicit preference data available currently, validation is, of necessity, indirect [9]. Several features of the Dateline preferences are consistent with external sources. First, the preference data suggest that at ages under 30 women are strongly biased against younger men, but men are quite accepting of a slightly older woman. For example, while just 16% of women aged 24 would accept a man of 22, a full 91% of 22-year-old men would accept a woman of 24; the corresponding figures for 28-year-old women and 26-year-old men are 33% and 75%. This asymmetry in preferences between the sexes corresponds with the findings of a 1984 survey of French couples, based on a sample of the general population (Bozon 1991: 123). Second, variation by age and sex in both the mean and the distribution of age difference preferences in the dating agency sample corresponds broadly to differentials by age and sex in actual age differences at marriage (cf. Figure 1). Finally, expected age differences based on the dating agency preferences provide, in most comparisons at census dates from 1921-91 for England and Wales and 1950-90 for the US, a closer fit to observed age differences, evaluated by the root mean square error, than either a fixed preference of 2 or 3 years across the age range or inferring preferences from observed age differences using Goldman et al’s (1984) empirical method [10]. In other words, these weights outperform conventional weighting schemes currently available in the literature (see Ní Bhrolcháin (2004b) for this and further validation evidence).
Relationship between IAR and sex ratios
Comparison of the availability ratios with straightforward sex ratios is a weak form of validation, since there are good reasons to doubt that sex ratios are a valid measure of partner supply. Nevertheless, they are familiar and widely used and so the comparison is informative. Availability ratios differ substantially from sex ratios at young ages with sex ratios having a much flatter age profile than do availability ratios. Sex ratios with a 3-year gap between men and women show either no disadvantage for young men, or a much lesser one, and either disadvantage or a much reduced advantage to young women compared with availability ratios, in 1990-91 [11]. At ages 30 and above, IARs and sex ratios with a 3-year gap are at similar levels; at ages 40-60, the two measures are very close in both countries, with unweighted averages of the ratio of the IAR to the sex ratio across these ages for the US and England and Wales, respectively, being 0.99 and 0.94 (female), and 0.94 and 0.99 (male). Judging by sex ratios, then, there would be nothing odd in male marriage patterns in Britain and the US in recent decades since, unlike the IARs, sex ratios at younger ages show little or no disadvantage for men and little or no advantage for women. However, while useful in practice, sex ratios are conceptually unsatisfactory. They imply rigidity in age preferences — an assumption clearly at variance with actual age difference distributions (Levy and Sardon 1982; Goldman et al. 1984; Lampard 1993) —, they make only elementary provision for competition, assume that the preferred age gap is independent of age and that male and female preferences are complementary. For these reasons, the weighted IAR, based on actual preferences, is a better measure of partner availability than the sex ratio.
Sex ratios among dating agency clients
If men experience partner shortages at the prime ages of male marriage, we would expect to find young men over-represented in the dating agency client population. This is indeed the case. Between ages 21 and 40 the age-specific sex ratio among Dateline clients is between 1.4 and 2.6, compared with sex ratios of between 1.1 and 1.3 among the unmarried in England and Wales in 1996. A difficulty with this argument, however, is that sex ratios well below 1 would be expected at older ages, reflecting the disadvantaged position of older women. In the 1996 sample of clients sex ratios do not drop below 1 until age 54, though in a further sample of 36,443 clients in 2001, the sex ratio at ages 51-60 is 0.8 and at ages 61+ it is 0.7 (single years of age not available). The data thus lend some support to the age-sex differentials in marriage market position suggested by the IARs, though must obviously be treated with caution because the reasons why people decide to make use of dating agencies are unknown — cultural factors may well influence perceptions of how appropriate it is for men and women of varying ages to find a partner by this means.
Availability ratios and marriage rates
Marriage rates might be thought of as an indirect source of validation since it is often supposed that measures of partner availability are accurate to the extent that they are associated with marriage propensities. However, this is not necessarily so. It is entirely conceivable that, except when extreme imbalances occur, marriage rates could be independent of, or only very weakly related to, the volume of potential partners, so an association with marriage rates is not integral to the concept of partner availability. The expectation that the two are so related is a hypothesis, the evidence for which is decidedly weak [12].
It is unsurprising therefore that the profile by age and sex of availability ratios corresponds poorly with the schedules of marriage rates by age and sex typical of Britain and the US, and that the same is true of sex ratios. Female marriage rates in these countries do not typically peak at ages under 20 and decline thereafter, nor do male marriage rates anywhere increase steadily with age, as the male availability ratios do. Nevertheless, the profile by age of sex differentials in marriage rates corresponds fairly well with the age profile of sex differentials in availability ratios, evaluated in relative terms. This is seen in Figure 5 which plots the female/male and male/female ratios of IARs and of age specific marriage rates in the US 1990 and England and Wales 1991, the age range being confined to 20-55 so as to exclude the most extreme values. In both countries, the general pattern of a large excess of female over male IARs at young ages, the levelling out in the 30s and subsequent decline, is mirrored in the ratios of female to male marriage rates. Single year-of-age data are available for England and Wales and so the correlation coefficient can be obtained: it is 0.99. Conversely the age profile of the male/female ratio of IARs corresponds reasonably well in both countries with the male/female ratio of marriage rates (r = 0.97, E&W). By contrast, relative differentials in sex ratios and marriage rates are not as closely associated (correlation coefficients: female/male 0.39, male/female 0.58, E&W). These figures would suggest that the IAR is measuring something close to the relative position of the sexes by age in the marriage market. Particularly noteworthy is the fact that the fit between relative differentials in availability and marriage rates is just as close in the US 1990 figures as in the England and Wales 1991 data, thus reinforcing the agreement seen above in Figure 1.
Figure 5
Female/male and male/female ratios of age-specific marriage rates and of availability ratios, ages 20-55
IMGIMGFemale/male and male/female ratios of age-specific...IMGIMF
Sources: Dateline 1996 for the age preference data. US Census data 1990 and England & Wales population estimates 1991. Monthly Vital Statistics Report, Vol. 43, No. 12, Supplement, 1995 for the US marriage rates, Marriage and Divorce Statistics, Series FM2 for the E & W marriage rates.
2. Is a given absolute level of partner supply equivalent for men and women?
The picture of low male availability ratios at the prime ages of male marriage might, however, be modified if the absolute level of partner supply has a different meaning for each sex. This could be so if one sex is more demanding than the other in relation to partner characteristics. Women are likely candidates as the choosier sex, by analogy with the animal world. Some information is to hand that backs up the hypothesis of greater female choosiness. A first source is the age preference data. Women specify a narrower range of acceptable partner ages than do men, the mean ranges being 7.8 and 10.3 years, respectively. In addition, up to the mid 30s, at each age the acceptability of the most popular single-year partner ages and those adjacent to them is lower among women than men (though the reverse is true at older ages) [13]. That women are more discriminating is also evident in an additional set of preference data, from a further sample of 36,443 Dateline clients in 2001. In relation to each partner attribute, clients have three options: they may state a positive preference for a partner with that attribute, or reject such a partner, or they may choose neither of these, implying that they “do not mind”. More women than men state a definite preference — positive or negative — with just two exceptions (among a total of 11 characteristics). Averaging over all characteristics, 8% more women than men state a definite preference in relation to partner attributes. Disparities in relation to some traits are quite substantial — for example, 49% of women in contrast to 24% of men would reject a partner with no educational qualifications.
In all, women are more exacting, and this could mean that, other things equal, they require a larger pool of potential partners to find a satisfactory match. As a result, women under 40 may be less advantaged in the marriage market, and men of this age less disadvantaged, than the availability ratios suggest, and at later ages the disparities in men’s favour could be greater than the IARs indicate. Note that while female choice predominates in animal mating systems, greater choosiness in mate choice on the part of human females need not be rooted in biology. It could stem from any of a number of cultural factors including power disparities between men and women in both personal and public spheres and from the central role of male earning power in the economic welfare of families [14].
3. Further factors
The picture presented of sizeable disparities between the sexes in partner availability at the prime ages of marriage might be modified if several further factors could be allowed for, notably possible sex differentials by age in demand for marriage. Measures of availability generally ignore differentials in demand by age and sex, and this is no surprise since data on the subject are rare. Several American studies suggest both that the ideal age at marriage is younger among women, and that women expect to marry at younger ages than men (Thornton and Freedman 1982; Thornton and Young-DeMarco 2001). However, even if young men want to marry later on average than young women, it seems likely that demand on the part of young people for at least a dating relationship has been fairly high in recent decades, and comparable between the sexes. Hence, sex differentials in availability ratios would probably be modified little if demand for at least a dating relationship were taken into account.
Gender disparities in partner supply might also be modified if the age-sex structure of encounters differs between the sexes — i.e. if the sexes differ in the extent to which potential partners of preferred ages are represented among persons encountered. Gender differentials could be influenced also if the degree of individual heterogeneity in partner supply differs by age and sex. Finally, we know very little about how the marriage market operates. How do male and female preferences, including demand for marriage/partnership, interact? What are the behavioural specifics of the process of pair formation and do female and male strategies differ in this respect? Ultimately, defensible measures of the relative numbers of the sexes will become available only when we have a successful behavioural model of the functioning of marriage markets along the lines of Henry’s (1972) marriage circles for example, within which such measures are embedded. All in all, our chosen measure of relative numbers stands up reasonably well but the measurement of partner supply is a relatively undeveloped subject and our estimates certainly cannot be considered definitive.
 
Overview and discussion
 
 
Partner supply by means of a weighted version of the Iterated Availability Ratio (Lampard 1993) suggests that women have an abundant supply of potential mates at young ages and that this declines steadily with age. Men, by contrast, experience a decided shortage of prospective partners at young ages, but a progressive increase in supply with age. In 1990-91, age preferences are the primary determinant of partner supply among the young, with population structure playing a minor role. At older ages, preferences, as attributed, have little effect on gender differentials but the contribution of structural factors increases with age. Although it is often assumed that the marriage market advantage of older men compared with older women results from higher male mortality, our findings suggest that population structure by marital status has a larger effect than mortality differentials (on this point, see also Goldman et al. (1984) and Davis and van den Oever (1982)) [15].
A striking finding is that most men marry when they are disadvantaged in the marriage market, throughout most of the 20th century in both countries. We have suggested some reasons in principle why gender disparities in availability at both younger and older ages might be modified by further investigation of factors such as differentials in demand and in choosiness between the sexes. Male marriage and remarriage rates are generally higher than female rates at older ages, a fact often attributed to greater opportunities for older men, but gender disparities in demand and choosiness may also contribute. There is some evidence to suggest that older women have less interest in marriage and partnership than do older men (South 1993; Davidson 2001) [16]. Besides demand, age-related factors could reduce the marriageability of older unmarried persons differentially by sex. The precise functioning of age preferences is crucial in this context. They might be seen in conditional fashion: that they represent preferences given that other partner characteristics are acceptable. If we suppose that partner choice is guided by a combination of partner age with a set of partner attributes x1, x2xn, age preferences might be seen as expressing acceptable partner ages, given that a partner is suitable with respect to factors x1xn. If suitability with respect to x1xn changes with age differentially by sex, then gender contrasts in partner supply at older ages may be other than suggested by our estimates. Such processes would have to be very sizeable to offset the gender disparities in availability at older ages.
While caution is needed in interpreting our findings, the remainder of this discussion considers several implications supposing them to be approximately correct. A key implication is that they reinforce the need to view marriage and related family matters from a two-sex perspective (Oppenheimer 1994; Goldscheider and Kaufman 1996; Greene and Biddlecom 2000). That the adverse marriage market position of young men has been overlooked may be due to the traditional tendency in demography to examine mainly female marriage and partnership. One author pointed to the marriage market difficulties of older women as being the “real” marriage squeeze (Veevers 1988), but in doing so ignored the partner shortages experienced by young men — an issue of greater demographic significance since it occurs at and before the prime ages of male marriage. Davis and van den Oever (1982) suggest that the surplus of unmarried men at young ages is of little importance since most will ultimately marry. However, is it truly unimportant? The existence of a substantial sex differential in women’s favour at young ages seems to us, on the contrary, to raise some intriguing questions about the balance of power between the sexes in courtship and the process of partner search. Are young women and men aware of their comparative advantage/disadvantage in relation to partner supply and how it will change with age? Does the sex differential in partner supply at young ages create gender disparities in bargaining power in finding a partner and if so, with what results? From an economic perspective, how far is the marriage price or “willingness to pay” for marriage at a given time for each sex influenced by actual and prospective partner supply (see, e.g., Cherry 1998)?
These questions can be seen in a more systematic context. That relative numbers may have a strong and pervasive influence on relations between men and women is the central theme of Guttentag and Secord’s (1983) influential book. While we doubt that sex ratios have the all-pervasive effect on gender relations that these authors suggest, nevertheless their core idea — that relative numbers may influence dyadic power — appears interesting and promising. Partner availability is strongly age-related and in opposite ways for each sex. We suggest therefore that the Guttentag and Secord thesis may be relevant through the life-course, and that variation in relative numbers through personal time may matter more than variation through space and calendar time. For example, our finding that most men marry at ages at which they are disadvantaged in the marriage market fits Guttentag and Secord’s thesis that where sex ratios are high men will be more inclined to marry (a mechanism along these lines is considered by Muhsam 1974). But if partner supply enhances women’s dyadic power at younger ages, the balance could swing the other way at older ages. Bargaining approaches to distribution and power within marriage employ the concept of threat point as influencing the outcome of marital negotiation: the more advantageous each partner’s position would be outside the marriage, the greater their bargaining power within the partnership (Manser and Brown 1980; McElroy and Horney 1981; England and Kilbourne 1990; Lundberg and Pollak 1993). Thus, beyond the impact on older unmarried women, a relative lack of potential alternative partners could in principle be a barrier to divorce for older married women and thus weaken their bargaining position within marriage, while abundant alternatives could strengthen that of older married men (for evidence of an association between divorce risk and partner supply, see South and Lloyd 1995). Davis and van den Oever (1982) draw attention to the social consequences of the low sex ratios at older ages, their focus being on the shortage of partners for older unmarried women. But if relative numbers influence gender relations within marriage, the issue is much larger in scale than they supposed, since older married women are much more numerous than the unmarried, at least until the ages at which widowhood has made substantial inroads. While partner supply is just one of many possible influences on gender power relations, it is nevertheless a fairly pure demographic influence and so deserving of demographic attention.
In all, our findings raise a number of substantive issues relating to male marriage and what might be described as the gender politics of dating as well as the demographic determinants of power relations between the sexes through the life course. On a methodological note, the central role of age preferences in determining availability indices shows that solid information is needed on these for a definitive assessment of partner supply by age; where age preferences are assumed on arbitrary or approximate criteria, the resulting measures of relative numbers will, in large measure, reflect the assumptions made. Finally, we emphasize that our estimates must be considered provisional rather than definitive, not just because of empirical constraints but also because robust theory to support the measurement of marriage market concepts is not yet available.
 
Acknowledgments
 
We thank the Office for National Statistics for supplying population estimates and unpublished tables of marriages ages, and Dateline for providing preference data.
 
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NOTES
 
[*]Division of Social Statistics, University of Southampton.
[**]Department of Social Policy, London School of Economics.
[1]Some further details of the preferences and imputation procedures are given in an earlier version of the present paper (Ní Bhrolcháin and Sigle-Rushton 2004), which also includes a contour plot of the preference weights; see also Ní Bhrolcháin (2004b).
[2]Marriage is later and less frequent among US blacks than whites, sex ratios are lower in black populations and time trends in marriage differ by race also (Espenshade 1985, Lichter et al. 1992, O’Brien 1997).
[3]In an earlier section we defined the joint preference of women aged i and men aged j as the product of the proportion of women aged i accepting men aged j and the proportion of men aged j accepting women aged i. The average of this joint preference for female ages 18-24 across male ages 18-35 is between 0.28 and 0.39 and the standard deviation is in the range 0.29-0.31; the corresponding averages for young men of 18-24 are in the range 0.05-0.29, just barely over lapping the female range, and standard deviations are also lower at 0.14-0.32.
[4]The method is described in Ní Bhrolcháin (2004a).
[5]Although the male IAR reached 1.02 briefly at age 30 in England and Wales, 1991, it was below 1.0 at ages 31-44, rising and remaining above 1.0 at age 47, an age at which 90% were ever married.
[6]If we leave aside the years 1970 and 1980, at least 72% of American men were already married by the age at which male IARs reached 1.0, at census dates between 1900 and 1990.
[7]In the male England and Wales birth cohorts of 1900-1980, the maximum marriage rate at any single year of age was 205.3 per 1000 (age 24, c1944); among female cohorts the corresponding figure is 264.5 per 1000 (age 21, c1939). In the aggregate, if there are just 78 women for every 100 men for example, it is possible for a majority of men (78%) to have married.
[8]Muhsam (1974, p. 295) suggests that one of the conditions under which observed marriages might exceed expected levels is where the “relative lack of eligible mates of one of the sexes renders the persons of the other sex so eager to get married and puts the persons of the rare sex under so much pressure that even more marry than would, in the absence of squeeze”. The Guttentag and Secord thesis is discussed in a later section.
[9]Some sources report data from surveys of newspaper lonely hearts advertisements. However, such data are of uncertain value. One of our undergraduate students carried out a survey of such advertisements in national newspapers in Britain during a 3-week period in 1998. In a sample of 1,326 advertisements, 10% of male and 25% of female advertisers did not state their age, and 56% and 52% respectively did not specify an age preference. So those that do may not be representative of the generality.
[10]The expected age difference between women of age i and their potential partners is defined as the weighted mean age of unmarried men minus i, that is, , where Mj is the number of unmarried men aged j. The expected male age difference is defined correspondingly.
[11]Sex ratios have been calculated from the perspective of each sex. The female sex ratio at age x is defined as the ratio of unmarried men aged x+3/unmarried women aged x and the male sex ratio as the ratio of unmarried women aged x–3/unmarried men aged x. A 2-year gap gives closely similar results.
[12]While many recent local marriage market studies report a positive association between partner supply and measures of female marriage, this cannot be interpreted directly as reflecting an influence of partner availability on rates, for several reasons: the marriage outcomes measured are often prevalence measures rather than rates, the effects are typically quite small, and many studies do not include measures of local economic conditions in their statistical models. Aggregate level studies have long found little evidence either of marriage squeeze or of a direct relationship between relative numbers and marriage rates (see e.g. Henry 1966, Keilman 1985, Fortier 1988 and Ní Bhrolcháin 2001).
[13]For example, among 26 year olds, an average of 6.6% more men than women would accept their most preferred partner age or the two ages on either side of this.
[14]Greater choosiness among women might stem precisely from the abundant supply of partners they enjoy when young, but this hypothesis is not supported by the Dateline preference data. Older women, who face a shortage of potential partners, appear to be no less exigent that are women in their twenties in relation to partner attributes, and the range of ages acceptable to them is, as at younger ages, narrower than that of men. The same appears to be true of men: older men are no more demanding in relation to partner characteristics than are younger men, although their marriage market position is substantially better. However, older people of both sexes are more tolerant than younger ones in relation to partner age.
[15]Population structure by marital status at older ages is, however, partly determined by higher male mortality, since at ages 50-59 a much higher proportion of women than men are widowed. This differential is determined by both greater female longevity and the age gap between spouses.
[16]South’s (1993) analysis of National Survey of Families and Households attitude data suggests that while young unmarried women are keener on marriage than young unmarried men, the reverse is true at older ages; the sample is however limited to ages under 35. In a small-scale qualitative study of widowed people aged 65+ Davidson (2001) reports that widows were much less interested than widowers in a further partnership. Widows positively valued their independence while widowers more often cited age and health constraints as barriers to remarriage. How ever, this gender difference may not apply at ages under 65
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[*]
Division of Social Statistics, University of Southampton. Suite de la note...
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Department of Social Policy, London School of Economics. Suite de la note...
[1]
Some further details of the preferences and imputation proc...
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[2]
Marriage is later and less frequent among US blacks than wh...
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[3]
In an earlier section we defined the joint preference of wo...
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[4]
The method is described in Ní Bhrolcháin (2004a). Suite de la note...
[5]
Although the male IAR reached 1.02 briefly at age 30 in Eng...
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If we leave aside the years 1970 and 1980, at least 72% of ...
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[7]
In the male England and Wales birth cohorts of 1900-1980, t...
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[8]
Muhsam (1974, p. 295) suggests that one of the conditions u...
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[9]
Some sources report data from surveys of newspaper lonely h...
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[10]
The expected age difference between women of age i and thei...
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[11]
Sex ratios have been calculated from the perspective of eac...
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[12]
While many recent local marriage market studies report a po...
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[13]
For example, among 26 year olds, an average of 6.6% more me...
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[14]
Greater choosiness among women might stem precisely from th...
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[15]
Population structure by marital status at older ages is, ho...
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[16]
South’s (1993) analysis of National Survey of Families and ...
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Preferred (1996) and actual mean age differences between partners, US (white population) and Englan...
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Iterated availability ratios by sex and age. US 1990 (white population) and England and Wales 1991
Simulated iterated availability ratios for a population with a rectangular age structure
Decomposition of age and sex differentials in iterated availability ratios
Female/male and male/female ratios of age-specific marriage rates and of availability ratios, ages ...
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