DEMOGRAPHIC RESEARCH
VOLUME 31, ARTICLE 33, PAGES 1007
1042
PUBLISHED 7 NOVEMBER 2014
http://www.demographic-research.org/Volumes/Vol31/33/
DOI: 10.4054/DemRes.2014.31.33
Research Article
Changing partner choice and marriage
propensities by education in post-industrial
Taiwan, 20002010
Yen-hsin Alice Cheng
© 2014 Yen-hsin Alice Cheng.
This open-access work is published under the terms of the Creative Commons
Attribution NonCommercial License 2.0 Germany, which permits use,
reproduction & distribution in any medium for non-commercial purposes,
provided the original author(s) and source are given credit.
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Table of Contents
1
Introduction
1008
2
Social change and family in Taiwan
1009
3
Women’s socioeconomic status and marriage
1010
4
Social exchange theory and assortative mating
1012
5
Research design
1015
5.1
Data
1015
5.2
Measures of marriage
1016
6
Results
1017
6.1
Changing educational patterns of marriage
1017
6.2
Changes due to availability of eligible partners or to magnitude of
marriage attraction
1020
7
Potential explanations for the differential retreat from marriage
1021
8
The role of cohabitation in an era of marriage decline
1029
9
Discussion
1029
Acknowledgements
1034
References
1035
Appendices
1041
Demographic Research: Volume 31, Article 33
Research Article
http://www.demographic-research.org 1007
Changing partner choice and marriage propensities by education in
post-industrial Taiwan, 20002010
Yen-hsin Alice Cheng
1
Abstract
BACKGROUND
Very little is known about recent marriage differentials by education in times of marriage
decline and economic restructuring in East Asia.
OBJECTIVE
This study aims to contribute to family research in Asia by investigating educational
variations in retreat from marriage and mate selection in Taiwan.
METHODS
This study applied Schoen's (1988) harmonic-mean two-sex marriage propensity
approach to nationwide marriage registration data to examine the changing marriage
patterns by education in Taiwan between 2000 and 2010.
RESULTS
The findings show that the drop in marriage rates is particularly drastic among the least
educated. Marriage has become more prevalent and affordable for better-educated
Taiwanese. Additionally, the proportion of educationally homogamous marriages has
increased, and the share of female-hypergamous marriages of all heterogamy also
increased from 2000 to 2010. Decomposition analyses show that these changes are
mainly due to decreased marriage propensities, not to the availability of eligible partners.
Educational and sex variations in marriage intentions, gender-role and marriage values,
and the changing economic structure and financial well-being of young adults were
investigated as potential causes.
1
Institute of Sociology, Academia Sinica, Taipei, Taiwan. E-Mail: alicey[email protected].
Cheng: Marriage patterns by education in Taiwan
1008 http://www.demographic-research.org
CONCLUSIONS
Period marriage differentials by education have reversed from negative to positive in
post-millennium Taiwan. A continued reliance on mens economic resources is also
observed. Differences in gender-role values and economic well-being across social
groups are plausible reasons for these family changes.
COMMENTS
More research is needed to unravel the impact of education on men and womens family
formation prospects and how social inequality may be reinforced and reproduced through
matrimony in Asia.
1. Introduction
In the first half of the twentieth century, marriage patterns in Taiwan used to be “early
and universal” (Lee 1994; Thornton and Lin 1994). The institution of marriage is
essential to the lives of Taiwanese men and women. As economic transformations
reshaped the lives of people in the last century, rapid and profound demographic
transitions in family behaviors also ensued. In the latter half of the twentieth century,
marriages began to be postponed, and increasingly more individuals decided not to marry
at all. While discussions on marriage decline in East Asia have often focused on
well-educated women, emphasizing how better education and earning potential among
the younger cohorts have driven down marriage rates over the years (Jones 2005;
Retherford, Ogawa, and Matsukura 2001; Tsuya and Bumpass 2004), men and women
from lower social classes have also experienced tremendous family transitions in the
post-industrial era. Fewer of them can afford to marry, and more have experienced family
disruption due to their dwindling economic standing. Both factors are likely to lead to a
positive educational gradient in marriage behaviors. Yet empirical research in Taiwan
has not paid much attention to recent marriage differentials by education level in these
times of economic restructuring. The current study aims to contribute to family research
in East Asia by using marriage registration data to conduct an in-depth investigation of
educational variations in retreat from marriage and mate selection in Taiwan.
Decomposition analyses will also be conducted to investigate the sources of such
changes. Additional analyses will also be carried out to explore the impact brought about
by the changing economy and shifting attitudes toward marriage and sex-role values as
potential explanations for the socioeconomic differentials in marriage patterns.
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2. Social change and family in Taiwan
The transformations of Taiwan from an agriculture-based to an industrialized economy
and further to capital- and skill-intensive industries have formed the backdrop to
large-scale social changes. One vivid example is reflected in family behaviors. In the first
half of the twentieth century less than 1% of women were never married by age 50. The
level of never-married men was slightly higher, but only about 2% to 5% of men were
still single before turning 50. The proportion of ever married women by age 50 stayed at
about 99% until 1980 and then declined for more than three decades. Another phase of
accelerated marriage decline is observed after the millennium, after Taiwan became a
post-industrial society in the late 1990s. By 2010 about 10% of men and 12% of women
in their late forties have never been married, which is a substantial change from the
previous universal marriage pattern. All these changes have been accompanied by
advancement in womens socioeconomic status. Since the 1970s, educational expansion
has taken place along with industrialization in Taiwan. Increasingly more women have
advanced to tertiary education after finishing high school. The proportion of female
students among all college students rose from 21% in 1960 to 36% in 1970 and further to
50% in 2010 (Ministry of Education 2012). The improvement in human capital among
women has propelled a surge in labor force participation rates at prime working ages a
tremendous increase from 56% to 84% at ages 25 to 29 and from 55% to 77% at ages 30
to 34 between 1987 and 2010 (DGBAS 19872010). Men and women in their twenties
are the first groups to respond to the broader social and economic changes by postponing
family formation events (Thornton and Lin 1994). In 1980 unmarried men and women
were minorities among individuals in their early thirties only 13.5% of men and 7.7%
of women aged 30 to 34 were never married. As of 2010, over half (54.1%) of men and
more than one-third (37.2%) of women in their early thirties have not entered a marital
union (Ministry of the Interior 2011).
The phenomenon of Taiwanese young adults marrying less and later has been a
focus of public and academic discussion for years. While it is not naively assumed that
the retreat from marriage is even across social classes, the attention has largely focused
on well-educated middle-class women, and the less educated are often absent from
debates on how marriages can be promoted or saved. The fact that well-educated women
are being too picky about their ideal partners (also known as the preference for a
hypergamous marriage
2
) is often referenced as one of the main causes of rising
singlehood. This may seem to line up well with the Second Demographic Transition
theory, which maintains that the better educated lead the trend of forming fewer marital
2
The usage of hypergamy vs. hypogamy throughout this paper is based on womens perspective. That is, a
union between a better-educated woman and a less-educated man is considered hypogamous.
Cheng: Marriage patterns by education in Taiwan
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unions and having fewer children. Nonetheless, the advent of post-industrialization and a
globalized economy in Taiwan since the late 1990s has resulted in massive outsourcing
of manufacturing factories and manual jobs to developing countries in South Asia and
China, as well as an expanding service sector that attracts ever-growing numbers of
female workers into the labor market. Heightened unemployment rates, widening income
inequality between classes, and a changing labor force structure by sex in a service-based
economy are the new social realities. As less-educated men have lost their jobs and more
women have entered the labor market than ever before, the sex gap in earning capacity
has converged substantially when compared to previous decades (DGBAS 2013). These
changes inevitably affect individual life chances such as social mobility and family
formation among the younger generations of Taiwanese men and women, who were
coming of age at the turn of the millennium. In fact, it has been documented in the
literature that demographic behaviors differ across class lines in a post-industrialized
context (Cherlin 2010; Esping-Andersen 1999; Furstenberg 2008; McLanahan 2004).
The socioeconomically disadvantaged are often the ones that experience more dramatic
changes in family behaviors, as a large proportion of them have gone through job loss and
economic instability, which make union formation an unaffordable dream
(Esping-Andersen 1999, 2009). The least-educated Taiwanese men and women are more
likely to have retreated from marriage than their better-educated counterparts as income
inequality has worsened in recent years. Furthermore, it is very likely that the better
educated are increasingly marrying each other because the high living standards to be
sustained in a modern society requires financial inputs from both partners, leading to
more educational homogamy. Yet studies focusing on socioeconomic differentials in
family behaviors during the past two decades have been very scanty. Marriage patterns in
contemporary Taiwan have crucial implications for social mobility and for the adults and
children involved in these families. Hence, it is imperative that researchers acquire a
comprehensive understanding of the shifting patterns of nuptiality along social lines in
Taiwan.
3. Womens socioeconomic status and marriage
Recent theoretical discussions about marriage decline in the developed world have
focused on the impact of womens rising educational attainment and increasing earning
capacity. The main argument is that advancement in womens socioeconomic status
inevitably brings about changes in family behaviors, but what the outcomes should be
differs across theoretical perspectives. One perspective is based on Becker‟s economic
theory of marriage, which maintains that the advancement in socioeconomic attainment
among women will result in lower rates of marriage (Becker 1991), often termed the
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economic independence hypothesis. This line of argument emphasizes that the
breadwinner-housekeeper division of labor within a marital union creates gains to
trade, and thus marriage is a rational choice for two individuals who wish to build a joint
economic unit that maximizes productivity. It follows that the gains from marriage are
largely reduced when women gain more ground in higher education and the labor market
and become less dependent on their spouses income. In turn, the opportunity costs of
marriage increase, so that gainfully employed women tend to have a lower incentive to
establish a family, and less time for childrearing and domestic work.
Another perspective, proposed by Oppenheimer, stresses the important
contribution of womens earnings in contemporary families (Oppenheimer 1997). While
in traditional families men are normally the sole breadwinners providing economic
resources, Oppenheimer maintains that gender specialization can be a risky strategy for a
family coping with economic uncertainty and financial shock. By contrast, when both
partners contribute independently to a joint pool of earnings, a form of economic
interdependency arises out of economies of scale. In modern societies where consumer
prices have increased much faster than wage levels, dual-earner families certainly enjoy
economic advantages over single-earner families in securing a better standard of living.
In turn, the fact that women are better educated and are becoming economically
independent should make them more attractive marriage partners, and should raise their
likelihood of marriage.
Considerable empirical evidence over the past decades has proven Oppenheimers
theory to be more satisfactory in explaining the reality that college-educated women,
though marrying later, are in fact more likely to enter a marital union than their
less-educated peers in several developed societies (Goldstein and Kenney 2001; Heard
2011; Ono 2003; Qian and Preston 1993; Santow and Bracher 1994; Schoen and Cheng
2006; Schwartz and Mare 2005; Sweeney 2002). For instance, using the 1995 Current
Population Survey, Goldstein and Kenney (2001) show that for women born in the 1950s
and 1960s, college graduates were more likely to marry than their less-educated
counterparts, even though they tended to enter marriage later. The importance of
womens economic prospects in marriage formation is also reported in Sweeneys (2002)
study. In Sweden women with higher income are also reported to have a higher likelihood
of entering first marriages (Ono 2003). On the other side of the globe, unions (i.e.,
marriage and cohabitation combined) in New Zealand and Australia became more
prevalent among socioeconomically advantaged men and women in the period between
1996 and 2006. This expanding union gap between social groups is due to a slight
increase in union formation among the more advantaged (i.e., better educated and with
higher income) and a stronger drop in proportions currently in a union among the more
disadvantaged (Heard 2011). Conversely, empirical research in other societies has
reported different socioeconomic patterns of marriage. Better-educated men and women
Cheng: Marriage patterns by education in Taiwan
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in the Netherlands who were born in the cohorts of the 1920s to 1960s were more likely
to remain single than their less-educated peers (Dykstra and Poortman 2010). A similar
negative association between education and the chance of marriage is also found in
several Eastern and Southern European countries (Kalmijn 2013).
In Asia, research on the social gradient of marriage has been scanty. The few
existing studies on Japan show that well-educated Japanese women are less likely to enter
a marriage than their less-educated counterparts (Raymo 2003; Raymo and Iwasawa
2005). While the findings support the economic independence hypothesis, the authors put
forward a marriage market mismatch hypothesis to offer a context-specific explanation
for this phenomenon. Raymo and Iwasawa (2005) found that a substantial decline in
marriage among college-educated Japanese women is due to a shift in marriage market
composition (i.e., fewer suitable educated partners). It underscores womens continued
economic reliance on men in a social context where heightened housing and living costs
are challenging for young couples, and there are still obstacles to gender equality and
balancing work and family. Another relevant study on marriage in post-reform-era China
shows that while more education is associated with earlier entry into marriage in places
where housing prices are high, better-educated people marry later in places with low
housing prices (Yu and Xie 2013).
4. Social exchange theory and assortative mating
Alongside the theoretical debates about the influence of womens socioeconomic
attainment on marriage patterns, how individuals select their future partners is key to who
marries whom. In both Beckers and Oppenheimers arguments an exchange of
characteristics between partners forms the basis of a marriage. Whether it is a
breadwinner looking for a homemaker to establish a family, or two breadwinners who
wish to reap economies of scale for a modern standard of living, rewards from marriage
are expected through matching and exchanging valuable traits and resources between the
two parties.
The exchange theory of marriage has been adopted to understand both homogamy
and heterogamy. While marriage choice is often characterized by homogamy, where
individuals with equivalent resources form unions to double the total utility, departures
from it can be conceptualized as maximizing utility through exchange of different
desirable assets. The classic example for the latter pattern is the class-caste exchange
between well-educated black men and white women as the most common type of
black-white intermarriage in the U.S. (Davis 1941; Merton 1941). A later study by
Schoen and Wooldredge (1989) found exchanges between mens higher education and
womens younger age. On the one hand, it follows that as women‟s socioeconomic status
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improves, well-educated women may be less confined to marrying the typical
breadwinner male partners, who tend to be older and better educated than themselves,
and instead have a wider range of choice of potential partners. In turn, a trend toward
educational hypogamy may become more prevalent as women move up the social ladder.
On the other hand, it is also possible that high living costs in modern societies not only
make womens earnings valuable in a marriage but also cause a continued reliance on
mens economic resources as a key criterion for establishing a family, and thus
hypergamy still prevails.
Prior research in the U.S. has reported evidence of increasing resemblance of
spouses in terms of educational attainment from 1930 to 1980 (Mare 1991). More
recently, Schwartz and Mare (2005) showed a continued rise in educational homogamy
from 1960 to 2003. College graduates in particular are becoming more likely to marry a
partner with similar education than to marry someone with lower education, and the least
educated have become much less likely to marry up (Schwartz and Mare 2005). A
comparative study of 65 nations indicated that lower levels of educational homogamy are
usually observed in times of low and high economic development an inverted U-shaped
pattern. In particular, Confucianism tends to be associated with higher levels of
educational homogamy than Protestant culture (Smits, Ultee, and Lammers 1998).
In Asia, a recent study on South Korea shows that educational homogamy has
increased for marriage cohorts from the 1960s and later. Despite womens rapidly rising
educational profile, hypergamous marriages still dominate heterogamous unions (Park
and Smits 2005). Across East Asia, Smits and Park (2009) showed that in ten countries
the trend of educational assortative mating declines with increasing modernization.
Educational homogamy is lower in countries with stronger Confucian influence and for
women in cohorts with higher employment rates (Smits and Park 2009). To sum up,
marriage behaviors are shaped not only by an individuals social status, partner
availability, and gender relations but also by the broader economic context of a society.
In Taiwan, several studies in the 1990s attempted to unravel the assortative mating
patterns by education (Tsai 1994, 1996; Tsay 1996; Yang, Li, and Chen 2006). The
findings from two cross-sectional national surveys show that educational assortative
mating in the form of educational homogamy had been strong and stable between 1980
and 1992 (Tsai 1996). Among heterogamous marriages, hypergamy (i.e., women
marrying up) is the most common form of marriage circa 1990 (Tsai 1994). A later study
that analyzed cross-sectional national surveys in 1990 and 2000 indicates that
educational hypergamy decreased and both homogamy and hypogamy increased over the
study period (Yang, Li, and Chen 2006). A more recent study indicates that female
hypergamous marriages have declined between the pre-1970 and 1990s marriage
cohorts, and in Taiwan barriers to marrying individuals in other educational groups have
also declined (Chu and Yu 2010). All these studies on Taiwan use log-linear models to
Cheng: Marriage patterns by education in Taiwan
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investigate marriage patterns revealed in survey data, but none of them directly tackle the
question of whether the education-marriage nexus is positive or negative for women.
Furthermore, more recent research has not investigated the implications of
post-millennium social change and economic restructuring.
It is likely that the negative educational gradients found in Japan also describe the
marriage differentials in Taiwan, and that hypergamy is still a more prevalent form of
heterogamy, as in South Korea, given that these societies share many similar social
circumstances and cultural values. However, post-industrialization has also caused job
loss among the least educated men, and in Taiwan more women are entering into the
service sector. This has led to less-educated men occupying a relatively disadvantaged
position in the marriage market. Thus, whether more education among women is
associated with more marriages and whether there has been a rise and fall of educational
hypergamy in contemporary Taiwan remain open questions. Hence, this study will test
two sets of competing research hypotheses:
H1a: More education is associated with more marriages for well-educated
women
H1b: More education is associated with fewer marriages for well-educated
women
H2a: With womens improved socioeconomic status, the proportion of
educational hypogamous marriages of all heterogamy is hypothesized to
increase
H2b: With a continued dependence on mens economic resources, educational
hypergamy is hypothesized to still dominate heterogamous unions.
Applying Schoen‟s (1988) harmonic-mean two-sex marriage propensity approach
to analyze detailed nationwide marriage registration data for 20002010 by age and
education, this study will examine three research questions:
(1) How have marriage behaviors and partner choice varied across educational
groups in Taiwan since the millennium?
(2) Are these changes due to changes in eligible partners or marriage propensities?
(3) What are the potential causes of the educational differentials in marriage
behaviors observed in post-millennium Taiwan?
The sections below seek to explore these issues with period data.
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5. Research design
5.1 Data
To investigate the changing educational patterns of marriage, a set of detailed nationwide
marriage-match data by grooms‟ and brides‟ age and education for marriages was
requested from the Department of Household Registration in Taiwan. These age- and
education-specific marriage-match data are only available for the years after 1998. This
study uses data from the years 2000 and 2010. Among a population of 23 million there
were about 183,000 and 133,000 marriages formed in Taiwan in 2000 and 2010,
respectively. A total of 841 (29x29) cells of marriage-match data (23 age categories for
brides and grooms from age -18, 18,, 34, 3539, 4044, 4550, 5054, 5560, 6064,
65+) presented in cross-tabulation format were provided. These marriage counts include
marriages of all orders
3
and are used as the numerators for calculating age-specific
marriage rates for both men and women. The education of brides and grooms is
categorized into four groups: less than high school, high school, junior college, and
college and above. Individuals who did not finish an educational level are grouped in the
next lower category. There are 16 spreadsheets (4 education categories for both brides
and grooms yield a total of 16 education combinations) with these 29x29 marriage-match
data for both years 2000 and 2010. About 2.2% of all marriages involved one man or
woman aged 65+ in 2000, and this was 1.55% in 2010.
As for the denominators, the exposure marriageable population data for the analyses
of marriage patterns by age and education after 2000 were calculated using the 2000 and
2010 Census data. Since the numerators are marriages of all orders, the exposure
populations are individuals who are single, divorced, and widowed in the census data.
Twenty-nine age categories (i.e., one-year age intervals from 18 to 39, 5-year age
intervals from 4044 to 6064, and two open intervals for ages younger than 18 and ages
65 and older) were used for the calculations of age-specific marriage rates and marriage
propensities.
3
The proportions of remarriages are quite low (about 10% of all marriages) for men and women under age 45
who married in 2000 and 2010. In general, most remarriages are observed among older adults above age 45, and
marriages formed above age 45 are only about 4% of all married women and 8% of all married men. Thus,
ignoring marriage orders in this study should not distort the main findings substantially.
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5.2 Measures of marriage
In this study marriage behaviors are described by using the harmonic-mean two-sex
marriage propensity approach proposed by Schoen (1988). This approach has been
applied to several studies on marriage patterns (Okun 2001; Qian 1998; Qian and Preston
1993; Raymo and Iwasawa 2005; Schoen and Cheng 2006; Schoen and Wooldredge
1989). The merit of this method is that it can simultaneously consider the joint
availability of unmarried men and women of specific traits, e.g., age and education, to
facilitate comparison of marriage behaviors between groups that are free of
compositional distortion. As a marriage often involves individuals of a different age and
educational level, it is necessary to take into account the unmarried populations that are
exposed to a specific type of marriage match. This is particularly important as the
unmarried population of a certain educational level can vary greatly across years, due to
the rapid educational expansion that has taken place in many modern societies. This type
of two-sex problem is treated with procedures that make use of age-specific
occurrence-exposure marriage rates for both men and women to measure the force of
attraction for marriage (Schoen 1988). Force of attraction is defined as a specific
marriage rate calculated from the harmonic mean of single men and women for a certain
type of age or education match. It shows the rate of encounters between men and women
of certain traits, and the share of such encounters that leads to marriage.
Occurrence-exposure rates are calculated by dividing the number of marriages
between grooms and brides of specific traits by the population at risk of such a match.
First, let M
m
(x,a) be the marriage rate for men between age x and x+a, such that
M
m
(x,a) = C (x,a) / P
m
(x,a) (1)
where C(x,a) represents the number of marriages involving men in age x to x+a and P
m
(x,a) is the unmarried male exposure population (i.e., never married, divorced, and
widowed) in age x to x+a. Analogously for women, let M
f
(y,b) be the marriage rate for
women between age y and y+b. It follows that
M
f
(y,b) = C (y,b) / P
f
(y,b) (2)
where P
f
(y,b) is the unmarried female exposure population in age y to y+b. Marriage
propensity between men with trait set A (e.g., 29-year-old college graduate) and women
with another trait set B (e.g., 31-year-old junior college graduate) can therefore be
represented by U (A;B) and is calculated as
U (A;B) = aM
m
(A;B) + bM
f
(A;B) (3)
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Both a and b in Eq. 3 are the widths of the male and female age intervals
respectively. M
m
(A;B) is the male marriage rate for marriages between men with trait set
A and women with trait set B, while M
f
(A;B) is the comparable female marriage rate.
Hence, marriage propensity U (A;B) is the sum of occurrence-exposure trait-specific
marriage intensities that show the magnitude of marriage attraction between single men
and single women of certain age and educational characteristics, independent of the
population composition. The total propensity of a certain education match is the sum of
propensities across all age matches within that specific type of education match. An age
interval length of five was assigned to the oldest open age categories when using Eq. 3 to
calculate marriage propensities.
This study further explores two additional marriage scenarios in 2010 by holding the
force of attraction constant at the 2000 level and by holding the structure of eligible
partners constant at the composition observed in 2000. These two sets of analyses
facilitate the investigation of changes in marriage behaviors that are due to different
structures of eligible partners and to changing magnitudes of marriage attraction across
groups over the one-decade period.
6. Results
6.1 Changing educational patterns of marriage
As marriage rates plummeted in the first decade after the millennium, the total marriage
propensity was slashed almost in half, from 23.14 in 2000 to 12.36 in 2010 (shown in
Table 1). The marginal sums of the top two panels of Table 1 also show that the least
educated were hit the hardest during an era of dramatic marriage decline. The changes in
total marriage propensities (refer to bottom panel of Table 1) of men and women without
a high school degree were -71.3% and -62.5%, respectively, across this ten-year period.
These are much higher than the comparable figures of -14% and -0.2% for unions
involving a man or a woman with a college degree. In addition, the total marriage
propensities for men without a high school degree versus those with a college degree
were 7.73 and 4.72 in 2000 and the comparable figures were 2.22 and 4.06 in 2010. For
women, the comparable propensities were 8.49 and 3.44 in 2000 and 3.18 and 3.44 in
2010. The association between education and the propensity to marry has shifted from
negative to positive for both men and women, although the educational discrepancy is
less strong for women. A closer look at Table 1 shows that a 17.6% increase in overall
marriage propensity is observed for marriages formed between a college-educated bride
and an equally educated groom from 2000 to 2010. An even higher increase of 33.4% is
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also found for marriages between a college-educated bride and a junior-college-educated
groom from 2000 to 2010. The comparable percentage change for marriages between
junior-college-educated brides and college-educated grooms only shows a -8.6%
decrease in the same period. Unions formed between men and women of other
educational combinations show a much stronger decline over this decade.
Table 1: Marriage propensities and percentage changes by education in years
2000 and 2010
Year 2000
Men
Women
<HS
HS
Junior College
College+
Total
<HS
3.88
2.45
1.30
0.86
8.49
HS
2.14
2.03
1.44
1.01
6.62
Junior College
1.18
1.07
1.34
0.99
4.59
College+
0.53
0.51
0.55
1.86
3.44
Total
7.73
6.07
4.62
4.72
23.14
Year 2010
Men
Women
<HS
HS
Junior College
College+
Total
<HS
1.24
1.15
0.46
0.33
3.18
HS
0.64
1.08
0.77
0.64
3.13
Junior College
0.22
0.67
0.81
0.91
2.61
College+
0.12
0.40
0.73
2.18
3.44
Total
2.22
3.29
2.78
4.06
12.36
% change between 2000 and 2010
Men
Women
<HS
HS
Junior College
College+
Total
<HS
-68.0%
-53.4%
-64.4%
-61.4%
-62.5%
HS
-70.0%
-46.8%
-46.1%
-37.1%
-52.6%
Junior College
-81.6%
-37.7%
-39.3%
-8.6%
-43.2%
College+
-77.0%
-21.4%
33.4%
17.6%
-0.2%
Total
-71.3%
-45.7%
-39.8%
-14.0%
-46.6%
Further analyses reveal that despite a three-fold increase in the numbers of
college-educated men and women at all ages (e.g., from 290,000 women in 2000 to
960,000 women in 2010), the growth in number of marriages formed by the best educated
across this ten-year period is also tremendous when compared to the loss of marriages
Demographic Research: Volume 31, Article 33
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observed among the less educated (refer to Appendix 1). The rise and fall of marriage
propensities by education are mainly driven by delayed and increased union formation
among the better educated. As can be seen in the panels for both men and women in
Appendix 2, gains in marriage propensities (i.e., differences between 2000 and 2010
observed marriage propensities by education) for the better educated (i.e., particularly
m4-f4 and m3-f4 pairings) in 2010 are clustered in unions formed in the thirties and early
forties. The picture for all the other types of educational match is consistent across all
ages for both sexes in this one-decade period: a uniform shying away from matrimony.
One point to be noted is that even though the mean level of education in Taiwan has
improved over the years for both sexes, in 2010 about 19% of men and 17% of women
aged 20 to 49 did not have a high school degree. High school was the highest completed
degree for about 39% of men and women in the same age range. Therefore, the group that
experienced a substantial decline in marriage is a non-negligible proportion of the entire
population.
As for partner choice, the proportion of educationally homogamous marriages (i.e.,
sum of the diagonal cells divided by the total marriage propensity of a given year)
increased from 39% in 2000 to 43% in 2010, even though the propensities of most types
of educational homogamy declined over this decade (refer to Table 1). That is, in an era
of marriage decline a larger share of men and women are marrying partners with
educational attainment similar to their own. For the educationally homogamous
marriages in the diagonal cells, in 2000 marriage propensities were stronger among the
least educated than the most educated men and women (3.88 vs. 1.86). Yet this pattern
reversed in 2010, as the most educated couples have much higher marriage propensities
than the least educated (2.18 vs. 1.24). On the other hand, ratios of the sum of the upper
right off-diagonal cells (i.e., the educationally hypergamous marriages) to the sum of the
lower left off-diagonal cells (i.e., the educationally hypogamous marriages) increased
from 1.35 to 1.53 between 2000 and 2010, revealing a stronger trend toward marrying
up among women in educationally heterogamous unions. When the comparison groups
are restricted to heterogamy that crosses at least two educational levels (i.e., the sum of
the upper right three cells to the sum of the lower left three cells), the ratios changed from
1.43 to 1.94 over this ten-year period. In other words, there is a stronger trend toward
hypergamy formed between much better-educated grooms and less-educated brides in
2010 than in 2000 among all heterogamous marriages.
Cheng: Marriage patterns by education in Taiwan
1020 http://www.demographic-research.org
6.2 Changes due to availability of eligible partners or to magnitude of marriage
attraction
The next set of analyses aims to explore the marriage patterns by looking at how the shift
in educational gradient of marriage reflects changes in the availability of eligible partners
or changes in the force of attraction. To investigate the former, the number of marriages
that would have occurred in 2010 was calculated by holding the force of attraction
observed in 2000 constant. Hence, the ratios of the predicted 2010 marriage rates (by sex
and age group) to the actual marriage rates observed in 2000 measure the change in the
availability of eligible partners between 2000 and 2010. On the other hand, the ratios of
the actual 2010 marriage rates to the predicted marriage rates observed in 2010 measure
the change in the force of attraction between 2000 and 2010. These ratios were averaged
across prime age groups from 20 to 49 to acquire a summary measure for a given
education match. A mean value greater than 1 indicates a positive change in eligible
partners or force of attraction. These procedures were carried out for both sexes, and the
findings are presented in Table 2.
The upper panel of Table 2 reveals that, in 2010, men with the least education who
were in hypogamous marriages faced a surplus of eligible better-educated female
partners. All men in unions involving a college-educated woman also experienced a
surplus of eligible female partners in 2010. The majority of men in the other marriage
matches experienced a shortage of women. The least educated men were the only group
who married less in the face of an improved pool of eligible partners, which is very likely
due to their dim economic prospects. Marriage behaviors of men in other groups rose and
fell with the changes in the composition of the marriage market between 2000 and 2010.
From the women‟s perspective, college-educated women in all types of union faced a
shortage of eligible men in 2010, but availability of potential spouses generally improved
for most women without a college degree. The lower panel of Table 2 shows that from
both men‟s and women‟s perspectives, almost every group experienced a tremendous
decline in propensity to marry, except for unions where at least one partner is
college-educated (i.e., marriage types m3-f4, m4-f4, and m4-f3). One important finding
to be noted is that despite a shortage of eligible men (with at least some tertiary
education) for college-educated women, a positive change in force of attraction indicates
that an increasing share of these women still managed to find a partner. In sharp contrast,
the least educated men experienced a tremendous decline in marriage propensity despite
being in a marriage market with a surplus of eligible women. Similarly, women without a
college education also experienced much lower propensity to marry, even though most of
them saw an improvement in eligible men.
Demographic Research: Volume 31, Article 33
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Table 2: Changes in availability of eligible partners and force of attraction by
education level between 2000 and 2010 (ages 20 to 49)
Changes in Eligible Partners 2000 vs. 2010
Men
Groom
Women
Groom
<HS
HS
Jr. College
College+
<HS
HS
Jr. College
College+
Bride
<HS
1.01
0.71
0.99
0.58
Bride
<HS
1.07
1.51
1.91
2.10
HS
1.09
0.88
1.00
0.77
HS
0.85
1.15
1.21
1.74
Jr. College
1.06
0.66
0.92
0.62
Jr. College
0.99
1.12
1.15
1.44
College+
1.89
1.66
1.44
1.06
College+
0.62
0.81
0.76
0.95
Changes in Force of Attraction 2000 vs. 2010
Men
Groom
Women
Groom
<HS
HS
Jr. College
College+
<HS
HS
Jr. College
College+
Bride
<HS
0.32
0.46
0.34
0.37
Bride
<HS
0.40
0.50
0.36
0.45
HS
0.30
0.50
0.51
0.68
HS
0.37
0.63
0.56
0.67
Jr. College
0.24
0.66
0.68
0.98
Jr. College
0.20
0.67
0.73
1.05
College+
0.31
0.84
1.46
1.15
College+
0.22
0.80
1.29
1.30
Note: A value greater than 1 indicates a positive change in eligible partners or force of attraction, and a value smaller than 1 a negative
change between 2000 and 2010.
To sum up, the marriage decline that took place between 2000 and 2010 was
accompanied by a reversal of educational gradient in marriage propensities, from
negative to positive, for both men and women. Educational homogamy increased, and the
proportion of educational hypergamy also increased within heterogamous unions. All of
these patterns were mainly driven by changes in marriage propensities, rather than
compositional shifts in the availability of eligible partners.
7. Potential explanations for the differential retreat from marriage
Analyses using two sets of social survey data (the Taiwan Social Trend Survey (TSTS)
and the Taiwan Social Change Survey (TSCS)) collected in recent years were conducted
to explore the attitudinal causes of differential retreat from marriage. Table 3 shows that a
positive educational gradient in marriage intention among singles was observed from
Cheng: Marriage patterns by education in Taiwan
1022 http://www.demographic-research.org
1998 to 2006 for both men and women. Single men with tertiary education
4
were nearly
two times more likely (OR=1.75, p<.0001, Model 1) than the least educated single men to
indicate a future marriage plan, whereas single women with similar education were three
times more likely (OR=3.02, p<.0001, in Model 3) than the least educated to express a
marriage intention, holding all other covariates constant. Such a positive educational
gradient has become stronger over time. A closer look at data from separate years
indicates that such a gradient only emerged after the millennium (in the 2002 and 2006
TSTS, but not the 1998 survey), which is also reflected in the significant interaction
terms of education and survey year shown in Models 2 and 4. When considered with the
macro-level marriage trend presented earlier, the best educated men and women are not
only marrying more, but also have stronger motivation to enter a marital union than their
less-educated counterparts. Such a low marriage intention among the least educated is
likely to further bring down their already low marriage rates in the future.
5
Additional analyses were carried out to explore the perceived key factor for a happy
marriage. The results in Table 4 show a convergence of value in the most selected factor
for both single men and women between 1998 and 2006. Before the millennium many
more single men and women stressed the importance of economic standing as the
foundation for a happy marriage. Even though in 2006 a quarter to two-fifths of
never-married single men and women still think that a good economic standing is
important for a happy marriage, a lot more of them endorse mutual trust and tolerance
across all groups. While men and women seem to become similar in terms of their
perceptions of a happy marriage, their attitudes toward sex roles and marriage still differ
substantially. For the five attitudinal variables examined in Table 5, men with lower
education are particularly slow to adapt to an egalitarian gender relation. Holding age and
marital status constant, men with tertiary education are significantly more likely than
their least educated counterparts to adopt liberal sex-role and marriage attitudes.
Better-educated men are less likely to agree with a traditional division of labor between
men and women, to think that a woman should put her husbands career before her own,
and to believe a bad marriage is better than being single or divorced. They are more likely
than the least educated men to believe that men should help with more household chores
than they do now. In another set of analyses, single women are more liberal than single
men on four of the five items after age and education are controlled for, revealing a
discrepancy in sex-role and marriage values between the two sexes (results shown in the
bottom panel of Table 5).
4
The response categories for education in the TSTS data vary between 1998 and later years. Junior college and
college are collapsed into one response category for 2002 and 2006 to make the models comparable. The TSTS
terminated in 2006, so models for years beyond 2006 cannot be presented.
5
The expansion of education in Taiwan might lead one to think that the proportion of adults without a high
school degree is very small. Yet the 2010 vital statistics show that about 18% of the adult men and women
between the ages of 20 and 49 did not have a high school degree.
Demographic Research: Volume 31, Article 33
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Table 3: Odds ratios predicting marriage intention among never-married men
and women ages 25 to 49 by education (Stacked file of Taiwan Social
Trend Survey, 1998, 2002, and 2006)
Model 1
Men
Model 2
Men
Model 3
Women
Model 4
Women
Survey Year (ref. 1998)
2002
0.51
***
0.44
***
0.62
**
0.36
*
2006
0.51
***
0.30
***
0.58
***
0.27
**
Age (ref. age 30-34)
25-29
--
--
--
--
30-34
1.04
1.03
0.71
**
0.71
**
35-39
0.80
0.79
*
0.40
***
0.40
***
40-44
0.50
***
0.51
***
0.25
***
0.24
***
45-49
0.30
***
0.30
***
0.20
***
0.21
***
Education (ref. <HS)
High school
1.35
**
0.95
1.85
**
1.25
Jr. college and above
1.75
***
1.14
3.02
***
1.63
Education x Survey Year
(ref. <HS & 1998)
HS*2002
1.32
1.60
Jr. college+ *2002
1.26
2.13
HS*2006
1.92
*
2.04
Jr. college+ *2006
2.28
**
2.70
*
Sample size N
6128
6128
3888
3888
p<.10; * p<.05; ** p<.01; *** p<.001
Note: Question wording for marriage intention in all three waves of TSTS: Do you intend to marry in the future? The response
categories are Yes or No.
Cheng: Marriage patterns by education in Taiwan
1024 http://www.demographic-research.org
Table 4: Response distributions of the most important factor for a happy
marriage reported by never-married respondents ages 25 to 49 by
education (1998 and 2006 Taiwan Social Trend Survey)
1998
2006
Single Men
<HS
HS
Jr.
College+
<HS
HS
Jr.
College+
Love
17.44
13.15
14.51
7.77
6.96
9.15
Having a good economic
standing
39.95
41.78
37.64
41.02
35.56
22.34
Compatible values and interests
9.02
13.75
12.82
8.66
13.12
17.09
Mutual trust and tolerance
22.31
20.28
24.04
32.49
38.67
45.13
Similar family background
1.25
0.1
0.71
0.52
0.81
0.96
Good sex life
0.93
1.59
0.71
0.39
0.2
0.41
Having individual freedom
0.79
2.88
0.6
2.34
1.09
1.48
Get along with spouse's family
2.97
2.81
1.84
1.11
1.21
2.2
Health
5.34
3.37
7.14
5.54
2.26
1.24
Other
0
0.29
0
0.17
0.12
0
Subgroup size (n)
288
363
311
532
992
1049
Single Women
<HS
HS
Jr.
College+
<HS
HS
Jr.
College+
Love
31.22
23.40
20.35
7.54
9.36
9.06
Having a good economic
standing
24.78
33.77
32.42
29.43
31.96
23.77
Compatible values and interests
10.44
10.77
17.09
6.73
11.32
14.39
Mutual trust and tolerance
23.82
17.57
22.83
42.76
41.6
44.58
Similar family background
2.69
1.61
0.18
0.55
0.23
1.33
Good sex life
0
0.63
0.32
0
0
0.15
Having individual freedom
0
1.81
0.94
1.66
1.6
2.9
Get along with spouse's family
0
3.24
0.59
1.07
0.54
1.28
Health
4.76
7.2
5.27
10.11
3.13
2.26
Other
2.29
0
0
0.15
0.26
0.28
Subgroup size (n)
57
185
242
122
540
1157
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Table 5: OLS regression models analyzing gender differences in sex-role and
marriage attitudes among all men and among never-married adults
between the ages of 20 and 49 (N=635, Taiwan Social Change Survey
2006)
All Men
Q1. A husband's
main responsibility
is to be the
breadwinner and
wife the
housekeeper.
Q2. Men should
help with more
domestic
chores than
they do now.
Q3. It is more
important for a
wife to help with
her husband's
career than to
develop her own
career.
Q4. Having a bad
marriage is still
better than staying
single.
Q5. Having a bad
marriage is still
better than getting
a divorce.
Education (ref.: <HS)
High school
-0.47*
0.22
-0.09
-0.37
-0.39†
Jr. college & above
-1.60***
0.50**
-0.95***
-1.04***
-0.84***
Marital Status
Ever married (ref.)
--
--
--
--
--
Never-married
-0.60**
-0.06
-0.33†
-0.13
-0.19
Sample size (n)
635
635
635
635
635
Never-married Adults
Q1
Q2
Q3
Q4
Q5
Men (ref.: women)
0.58***
-0.34**
0.23
0.24
0.31*
Education (ref.: <HS)
High school
-0.17
0.39
0.41
-0.20
-0.75*
Jr. college & above
-1.44***
0.75**
-0.63*
-0.88*
-0.94**
Sample size (n)
484
484
484
484
484
p<.10; * p<.05; ** p<.01; *** p<.001
Note: Each statement is measured on a scale of 1 to 7, with higher values indicating stronger approval. All regression models control
for a respondent's age in 5-year age groups. Ever married respondents include those who are currently married, divorced, and
widowed.
On the economic front, unemployment rates have been on the rise since the
mid-1990s for men and women of all educational levels (see Figure 1). In particular, men
without tertiary education have experienced tremendous growth in unemployment in the
post-millennium years, and the risk of being out of work is much higher among
blue-collar male workers than female workers. In the 1980s men without a high school
degree used to have lower unemployment rates than men in other educational groups, but
in 2009 the proportion of them losing jobs reached an unprecedented high. The cyclical
labor market situations after 2000 affect young adults economic prospects not only
through heightened unemployment but also through lowered average earnings across
major occupations in the one to two years after the economic shocks of 2001 and 2008
(DGBAS 2013). In addition, since the 1990s inflation-adjusted disposable income levels
Cheng: Marriage patterns by education in Taiwan
1026 http://www.demographic-research.org
have been declining for workers in all social groups (DGBAS 19872010). Despite
Taiwans sustained economic growth (averaging 4.10% annually) in gross domestic
product (GDP) from 2000 to 2010, employee compensation as a proportion of GDP
declined from 51.7% in 1990 to 44.6% in 2010, which is an all-time low since 1990
(DGBAS 2010). That is, the profits and gains have not been justly distributed to laborers
and employees in the era of post-industrialization, which is vividly reflected in the
percentile distribution of disposable income for both men and women. According to the
annual Survey of Family Income and Expenditure, even though income improved
between 1995 and 2000 for the 20
th
, 50
th,
and 90
th
percentiles for both sexes, barely any
increase in disposable income at the 20
th
and 50
th
percentiles is observed in the following
decade of 2000-2010. The only group that experienced substantial income gain during
this period was the most advantaged high-income earners in the 90
th
income percentile
(DGBAS 1995−2010). In other words, wage levels have stagnated and even declined for
over a decade in the face of continuous annual inflation, and the majority of Taiwanese
laborers, particularly those from the lower class, are feeling that economic stress.
Now that Taiwan is transformed into a post-industrial society, the bleak economic
outlook of male low-skilled manual workers raises worries for women who are looking
for potential partners from a pool of men with limited means. As labor force participation
rates grew substantially among women without a high school degree between the prime
working ages of 20 to 50, from 48.06% in 1995 to 60.06% in 2010, the unemployment
rates of men without tertiary education also increased dramatically (as shown in Figure
1). By contrast, the unemployment rates of college-educated men and women have
converged over the past few decades. As mens economic prospects are still a crucial
determinant of marriage in times of rising inequality, the loss of jobs due to relocation of
manufacturing factories to other developing countries has made marriage unaffordable
for many blue-collar workers. Along with obstacles to reemployment in a service and
knowledge economy, men with the least socioeconomic resources have experienced
tremendous status loss in the marriage market. Overall, both slower attitudinal change
toward gender equality among men of lower class and deterioration of their economic
well-being have translated into rapidly dropping marriage propensities among
disadvantaged men in recent years. The better educated are now more likely to wed,
largely because they have adapted better to new values and the changing economic
structure.
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Figure 1: Unemployment rates by sex and education in Taiwan, 19782010
0
1
2
3
4
5
6
7
8
Unemployment rates (%) among HS men and women
Men
Women
0
1
2
3
4
5
6
7
8
Unemployment rates (%) among <HS men and women
Men
Women
Cheng: Marriage patterns by education in Taiwan
1028 http://www.demographic-research.org
Figure 1: (Continued)
Unemployment rates (%) among junior college men and women
Unemployment rates (%) among college+ men and women
Source: Data acquired from the Directorate-General of Budget, Accounting, and Statistics, Executive Yuan, Taiwan.
http://www.dgbas.gov.tw/ct.asp?xItem=18843&ctNode=4943.
0
1
2
3
4
5
6
7
8
Men
Women
0
1
2
3
4
5
6
7
8
Men
Women
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8. The role of cohabitation in an era of marriage decline
Family literature in the West often discusses how marriage decline is accompanied by a
surge in the prevalence of co-residential unions (Bumpass, Sweet, and Cherlin 1991;
Heard 2011; Kalmijn 2007). While cohabitation is relatively less common and still
stigmatized in Asian countries (Jones 2007), the prevalence of cohabitation in Taiwan is
rising over time (Lesthaeghe 2010). However, questions about marital status in major
large-scale social surveys and the censuses often group the currently cohabiting and
married individuals as one category, and they are indistinguishable in the dataset. Among
the very few datasets that specifically asked about the experience of cohabitation are the
1998 and 2004 KAP surveys.
6
Descriptive analyses (results not shown) using these two
rounds of KAP indicate that cohabitation as a union type increased between 1998 and
2004. For single women aged 20 to 49, cohabitation became more prevalent among the
younger generations and among the less educated. The increase in cohabitation among
married women differs very little across cohorts and education. It is very likely that part
of the decline in marital unions was substituted by cohabiting unions, especially if the
prevalence of cohabitation among the unmarried population increased more among the
less educated than the better educated in the KAP data. Although there is evidence
showing an increasing prevalence of co-residential unions over time, cohabitation could
have very different meanings for different social groups. On the one hand, it could be that
cohabitation has replaced marriage among the less educated and the total union formation
intensities are actually not decreasing when cohabitation is taken into account. On the
other hand, cohabitation could also be rising among the better educated but serving only
as a test-run for marriage. These are two untestable hypotheses at this point. As panel
surveys that include comprehensive records and measures of cohabitation are still lacking
in Taiwan, the extent to which cohabitation has become a substitute of or a prelude to
marriage awaits more empirical investigation in future research.
9. Discussion
This study set out to investigate the changing partner choice and differential marriage
propensities by education in an era of marriage decline in post-millennium Taiwan.
6
The KAP (Knowledge, Attitude, and Practice) survey is a collaboration between the Population Studies
Center at the University of Michigan at Ann Arbor and the Taiwan Provincial Institute of Family Planning to
collect data on marriage, family values, fertility preferences, and contraceptive use. The first wave of the KAP
survey was conducted in 1965. The survey has been continuously carried out over the years, and the last survey
wave was administered in 2008. The sample sizes for the different waves vary from over 3,000 to about 5,000
female respondents of childbearing age between age 15 and 49.
Cheng: Marriage patterns by education in Taiwan
1030 http://www.demographic-research.org
Results of this study indicate that while all educational groups experienced marriage
decline between 2000 and 2010, the drop is particularly drastic among the least educated.
Because of their relatively mild decrease in marriage propensities, in 2010 men and
women with tertiary education became more likely to marry than their less-educated
counterparts. The most recent education-marriage patterns observed support hypothesis
H1a where more education is associated with stronger marriage intensities among
women. This is a reversal of the negative educational differentials in marriage intensity
revealed by the 2000 data. As in many Western societies, Oppenheimers theory appears
to line up better with the most recent marriage patterns by education in Taiwan. Women
with more socioeconomic resources are marrying more, especially with men who have
similar levels of education.
As for the patterns of partner choice, a larger share of educational homogamy is
observed in 2010 than in 2000, mainly driven by an increase in homogamy among the
better educated. In addition, hypothesis H2b is supported: the proportions of
educationally hypergamous marriages of all heterogamy also increased between 2000
and 2010. These findings show that in an era of growing economic uncertainty the better
educated are increasingly more likely to marry a partner with similar background. For
better-educated women, marrying down with men without any tertiary education has
become a less feasible choice, despite their own rising financial independence. Thus,
although improvement in women‟s socioeconomic attainment in Taiwanese society
could open up broader possibilities for spouse selection, the marriage patterns observed
suggest that a continuing preference for men‟s economic resources in a
post-industrialized context is likely to further perpetuate the traditional pattern of
hypergamy. While prior research by Chu and Yu (2010) showed a decline of homogamy
between the pre-1970s and 1990s cohorts, the findings here suggest a rise in homogamy
during the post-2000 period. These results resonate with the assortative mating patterns
of Korean adults in recent marriage cohorts the rise and fall of homogamy has followed
a U-shaped pattern across cohorts, and hypergamy dominates all heterogamous
marriages (Park and Smits 2005).
Further analyses show that the changes in marriage propensities across groups are
due to an overall drop in the propensity to marry rather than to a shortage of potential
partners. In fact, a surplus of eligible male partners is observed from 2000 to 2010 for the
majority of women without college education, yet the force of attraction for these women
decreased over the same period. By contrast, college-educated women displayed a
stronger propensity to marry men with similar education, despite facing a shortage of
eligible partners. Similar patterns were reported in Qian and Prestons (1993) study,
where increased marriage rates were observed among college-educated American
women in the 1970s and 1980s, despite a decline in the availability of eligible men. This
also goes along with recent research that shows how the compositional effect of
Demographic Research: Volume 31, Article 33
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education has played a very small role in explaining the overall retreat from matrimony in
East Asian countries (Jones and Gubhaju 2009). In fact, although improvements in the
socioeconomic status of women are often argued to cause retreat from marriage, in
Taiwan the best-educated women seem to become more desirable partners and show
stronger intentions and behaviors to establish new families.
This study observed changes in marriage market composition in Taiwan between
2000 and 2010, similar to Raymo and Iwasawas (2005) decomposition analyses.
However, while the marriage decline among better-educated Japanese women is driven
by a shortage of marriageable men, college-educated Taiwanese women actually had a
higher propensity to marry (with similarly educated men), despite facing a smaller pool
of eligible men. Raymo and Iwasawa have partly attributed the decline in marriage
among better-educated Japanese women to the difficulty in combining work and family.
The employment situation of married women in Taiwan appears more promising than in
Japan, as a recent study showed that employment rates of married mothers with
preschool-aged children in Taiwan have increased from 34% in 1983 to 62% in 2006 (Jao
and Li 2012). In spite of limited state-supported childcare, motherhood (or marriage)
7
and employment seem to have become complements rather than substitutes across
cohorts of married women in Taiwan, which may not be the case in the Japanese context
revealed in Raymo and Iwasawas 2005 research.
In contrast to well-educated women, the majority of Taiwanese women with less
than college education faced a surplus of eligible partners at most education levels, yet
their propensity to marry showed a dramatic decline from 2000 to 2010. The analyses
presented earlier suggest that the slower attitudinal changes among less-educated men
might have caused their female counterparts to hesitate over the idea of marriage. On the
other hand, it is also likely that men have come to appreciate the earning capacity of
better-educated women, and thus the less-educated women are having problems
marrying up with better-educated men.
This study further explores the compositional changes of the exposure population
by education. The findings suggest that an important explanation for the tremendous
decline in marriage propensity among the less educated is likely due to divorce and
remarriage patterns. Given the negative educational gradient in divorce that has emerged
since the 1990s (Chen 2012) and the fact that remarriage rates have been much lower
among the less-educated men and women
8
, the proportion of divorced individuals among
the less-educated population at risk of marriage has been expanding constantly over the
years. Recent vital statistics show that the proportions of divorced individuals at prime
marrying ages are particularly high among the less-educated men and women, and this
7
Only about 4% of all births in Taiwan were non-marital childbearing in 2010.
8
Author‟s own calculations based on vital statistics data on remarriages released by the Department of
Household Registration, Ministry of the Interior, Taiwan.
Cheng: Marriage patterns by education in Taiwan
1032 http://www.demographic-research.org
trend has been increasing since 2000. Such an expansion in the marriageable population
has suppressed the overall marriage intensities among the less educated. Along with a
rapid drop in number of marriages among the less educated shown in Appendix 1, which
is faster than the speed of educational upgrading over the past decade, a rapid decline in
marriage intensities among the more disadvantaged population in Taiwan has become an
inevitable reality. By contrast, the growth in marriages involving college-educated men
and women between 2000 and 2010 was substantial (130% for men and 158% for
women), outpacing the growth in college-educated male and female population. This is
why compositional changes have played a small role in explaining the new patterns
observed.
As wages have stagnated and unemployment rates have reached record-high levels,
the deteriorating economic well-being of young employees is a structural cause of the
recent dramatic decline in marriage rates and the reversal of educational differentials in
marriage. Over the past two decades disposable income at most distribution percentiles
has declined, except for the richest. The undesirable consequences of industrial
outsourcing and income inequality in a post-industrial society have had a tremendous
impact on the lives of many young individuals. This is congruent with findings in the
United States, where the effects of mens education and economic characteristics on
marriage likelihood have become more salient for the 1961-65 cohort than for the
1950-54 cohort. In other words, the role of mens economic standing in entry into
marriage remains crucial as womens earning capacity rises (Sweeney 2002). Similarly,
findings reported for the Antipodean countries of Australia and New Zealand also reveal
deteriorating union formation prospects for less-educated low-income men (Heard 2011).
In fact, a similar plight among low-skilled disadvantaged men has been documented in
many countries experiencing globalization and a deregulated economy in a
post-industrial context (Blossfeld and Buchholz 2009; Blossfeld et al. 2006;
Esping-Andersen 2009). While governments in Taiwan and in Singapore are
coordinating matchmaking social activities to raise the marriage rates of middle-class
college graduates (CNBC 2012), public policy should also focus on the welfare of the
disadvantaged sector of the population.
Moreover, shifting ideas about the foundation of a happy marriage show a
convergence between men and women across social groups. Yet a sex gap remains for
sex-role values and marriage attitudes. The least educated men, in particular, are more
resistant to adopting liberal gender-role values. In turn, negotiating for an egalitarian
relationship becomes more of an attainable goal for better-educated men and women. All
things considered, gender equality is still an unfinished revolution. When considering the
two distinct stages of gender revolution discussed in Goldscheider, Olah, and Puurs
(2010) recent research, Taiwan is certainly still moving slowly toward the second stage
where equality in the family sphere is attained. More efforts are needed so that both men
Demographic Research: Volume 31, Article 33
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and women, particularly the less educated, can see a convergence in their views on an
ideal intimate relationship and a happy marriage. Both family formation and union
stability can be expected to increase when such a consensus is reached (Goldscheider,
Oláh, and Puur 2010). These findings also resonate with Schoens (2011) recent
arguments that the role of gender competition in linking socioeconomic and ideational
developments to contemporary family changes is crucial, and that the delay in the second
stage of the gender revolution is likely due to a pushback from men. Overall, before a
reconciliation between men and women can be reached regarding acceptable
arrangements in domestic division of labor and a common expectation for marriage, the
trend toward further decline in marriage rates seem to be inevitable in the years to come,
although part of this downward pressure can certainly be offset by improvements in
economic opportunities.
The majority of research on marriage decline has focused on womens changing
values and attitudes, but the analysis here shows that across all social groups men, too,
are embracing new ideas about the fundamental pillars of a happy marriage. As discussed
earlier, it is the discrepancy in gender-role and marriage attitudes between men and
women that appears to make marriage an unattractive life choice for many young adults
in Taiwan, and perhaps in many other parts of East Asia as well. As marriage is a result of
dyadic interactions and negotiations between the two sexes, mens desires and beliefs
certainly contribute to the redefinition of dyadic relationship and family formation and
should not be omitted in research on contemporary family change (Le Bourdais and
Lapierre-Adamcyk 2004; Schoen 2011).
One thing to be noted is that since the 1990s foreign spouses have played a crucial
part in the Taiwanese marriage market.
9
The impact of such a social phenomenon on the
analyses presented earlier is that the marriage rates/propensities were underestimated to
different extents, because these marriages were counted in the numerators but the foreign
women (and men to a much lesser extent) at risk of marriage were not included in the
exposure population. The actual marriage propensities for unions that involve spouses
with high-school-or-less education should have been lower because the majority of
foreign spouses did not have any tertiary education (e.g., about 95% of Southeast Asian
and 85% Mainland Chinese spouses received high school or lower education in 2008). In
other words, the positive educational gradient in marriage intensities observed in 2010
would have been more pronounced if the information regarding country of origin had
been available and the eligible foreign women and men at risk of marriage had been
included as part of the marriageable population.
9
About 25% and 16% of the marriages registered in 2000 and 2010 were formed between a Taiwanese and a
foreign spouse. The great majority of these foreign marriage migrants did not have citizenship at the time of
marriage
9
and the majority of them are foreign brides (i.e., 93% and 82% of foreign spouses were female in
2000 and 2010 respectively).
Cheng: Marriage patterns by education in Taiwan
1034 http://www.demographic-research.org
This study is one of the few studies that explore marriage differentials by education
in Asia. In the decade after the millennium marriage propensities have increased for
unions between better-educated men and women and decreased for other unions that
involve less-educated individuals. Even though in 2010 the percentage of ever married by
age 50 is still higher among less-educated women than the better educated, the social
differential in life-time ever married rates could reverse in the future if the positive
educational gradient in marriage intensities observed in 2010 persists over a longer
period of time. In Japan a recent panel study on 1,500 women born in 1959 to 1979
(surveyed in 1993 to 2008) showed an emerging positive association between womens
earnings and marriage probabilities among the 1970s cohorts (Fukuda 2013). The
analyses here show additional evidence of a positive social gradient in marriage from a
period perspective in an advanced East Asian economy. These findings go along with the
expanding social divide that has been shown in many developed societies in recent years
(Furstenberg 2008; Kalmijn 2013; Meier and Allen 2008; Smits and Park 2009) where
education is increasingly associated with more favorable life outcomes, and such a social
inequality further penetrates into the well-being of the next generation (McLanahan
2004). Finally, as societies go through the process of post-industrialization it remains an
open question whether more East Asian countries will show a positive educational
gradient in marriage likelihood and further improve on gender equity in school, work
settings, and inside the family. More research is certainly needed to unravel the impact of
education on men and womens family formation prospects and how matrimony in Asia
might reinforce and reproduce social inequality.
10. Acknowledgements
This research was supported by the National Science Council of Taiwan under Grant
#102-2410-H-001-073-MY2. The author would like to thank Drs. Robert Schoen and Yu
Xie and two anonymous reviewers for valuable comments on earlier versions of this
paper. An earlier version of this paper was presented at the 2014 annual meeting of the
Population Association of America in Boston, MA. The author also thanks Fen-chieh
Felice Wu for excellent research assistance.
Demographic Research: Volume 31, Article 33
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Appendices
Appendix 1: Number of marriages formed by men and women in different
educational groups between 2000 and 2010
Men
Women
Year
<HS
HS
Jr. College
College+
<HS
HS
Jr. College
College+
2000
74303
60579
25241
22905
61363
69550
31815
20300
2010
20442
41269
19530
52581
22593
38043
20899
52287
% changes
-72%
-32%
-23%
130%
-63%
-45%
-34%
158%
Cheng: Marriage patterns by education in Taiwan
1042 http://www.demographic-research.org
Appendix 2: Changes in marriage propensities by age and educational matches
between 2000 and 2010
MEN
m1-f1
m1-f2
m1-f3
m1-f4
m2-f1
m2-f2
m2-f3
m2-f4
m3-f1
m3-f2
m3-f3
m3-f4
m4-f1
m4-f2
m4-f3
m4-f4
20-24
-0.2403
-0.1179
-0.0324
-0.0040
-0.1316
-0.0859
-0.0180
0.0009
-0.0319
-0.0156
-0.0353
0.0083
-0.0063
-0.0012
0.0010
-0.0030
25-29
-0.6619
-0.3211
-0.1876
-0.0865
-0.3700
-0.2029
-0.0724
0.0201
-0.2298
-0.1551
-0.2565
0.0579
-0.1315
-0.0087
-0.0099
-0.1009
30-34
-0.6535
-0.3165
-0.1636
-0.0961
-0.3097
-0.1808
-0.0583
-0.0172
-0.1703
-0.1283
-0.1199
0.0750
-0.1435
-0.0366
0.0094
0.1682
35-39
-0.4704
-0.2269
-0.1169
-0.0500
-0.1723
-0.1483
-0.0497
-0.0226
-0.0886
-0.1175
0.0007
0.0499
-0.0760
-0.0620
0.0130
0.1594
40-44
-0.2576
-0.1340
-0.0838
-0.0385
-0.1020
-0.0938
-0.0499
-0.0103
-0.0614
-0.0846
-0.0159
0.0202
-0.0433
-0.0673
-0.0093
0.0671
45-49
-0.1276
-0.0963
-0.0609
-0.0341
-0.0636
-0.0508
-0.0298
-0.0218
-0.0765
-0.0752
-0.0186
0.0024
-0.0321
-0.0519
-0.0184
0.0219
WOMEN
m1-f1
m1-f2
m1-f3
m1-f4
m2-f1
m2-f2
m2-f3
m2-f4
m3-f1
m3-f2
m3-f3
m3-f4
m4-f1
m4-f2
m4-f3
m4-f4
20-24
-0.7778
-0.4707
-0.2754
-0.1001
-0.3556
-0.3134
-0.1683
-0.0476
-0.1352
-0.1504
-0.2152
-0.0044
-0.0370
-0.0432
-0.0402
-0.0444
25-29
-0.9243
-0.3881
-0.2358
-0.1176
-0.4954
-0.2527
-0.1161
-0.0086
-0.3273
-0.2179
-0.2942
0.0742
-0.2616
-0.0798
-0.0619
-0.1540
30-34
-0.4354
-0.1652
-0.1143
-0.0748
-0.1922
-0.1175
-0.0058
-0.0053
-0.1284
-0.1235
0.0055
0.0820
-0.1292
-0.0616
0.0379
0.3029
35-39
-0.1684
-0.1077
-0.0807
-0.0350
-0.0725
-0.0698
-0.0259
-0.0137
-0.0609
-0.0746
0.0185
0.0304
-0.0284
-0.0795
0.0003
0.1602
40-44
-0.0869
-0.0682
-0.0600
-0.0299
-0.0552
-0.0456
-0.0210
-0.0079
-0.0660
-0.0658
-0.0185
0.0008
-0.0172
-0.0484
-0.0046
0.0517
45-49
-0.0505
-0.0415
-0.0483
-0.0248
-0.0554
-0.0243
-0.0285
-0.0069
-0.0581
-0.0380
-0.0257
-0.0091
-0.0294
-0.0361
0.0089
-0.0077
Note: Numbers in column labels refer to educational levels from 1=no high school degree”, “2=high school graduate, 3=junior college, and 4=college and above.
Hence, m1-f3 indicates marriages between men without a high school degree and women with junior college education.
The table above only presents marriage propensities for ages 20 to 49 because these are prime marrying ages and are more indi
cative of major behavioral
changes. Marriage propensities for ages 50 and older tend to be much lower than for younger ages.