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Homogamy
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Journal Article
Demography (2008) 45 (4): 851–873.
Published: 01 November 2008
...Felix Elwert; Nicholas A. Christakis Abstract Increased mortality following the death of a spouse (the “widowhood effect”) may be due to (1) causation, (2) bias from spousal similarity (homogamy), or (3) bias from shared environmental exposures. This article proposes new tests for bias...
Journal Article
Demography (2022) 59 (6): 2161–2186.
Published: 01 December 2022
... between high- and low-tier institutions in the context of high participation in tertiary education may clarify the mixed evidence on educational homogamy trends across countries. I apply log-linear and log-multiplicative models to analyze trends in educational assortative mating in Japan, which...
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Includes: Supplementary data
Journal Article
Demography (2017) 54 (3): 985–1005.
Published: 28 April 2017
... homogamy and its contribution to inequality is largely attributable to changes in the division of paid labor rather than changes in sorting on earnings or earnings potential. Our findings indicate that the rise of economic homogamy cannot be explained by hypotheses centered on meeting and matching...
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Includes: Supplementary data
Journal Article
Demography (2013) 50 (4): 1197–1216.
Published: 24 January 2013
...Martin Dribe; Paul Nystedt Abstract Several studies have shown strong educational homogamy in most Western societies, although the trends over time differ across countries. In this article, we study the connection between educational assortative mating and gender-specific earnings in a sample...
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Journal Article
Demography (2010) 47 (3): 735–753.
Published: 01 August 2010
... in educational homogamy by union type are driven by selective exits from marriage and cohabitation rather than by differences in partner choice. Marriages that cross educational boundaries are particularly likely to end. The findings suggest that although cohabitors place greater emphasis on egalitarianism than...
Journal Article
Demography (2012) 49 (2): 629–650.
Published: 27 March 2012
...Christine R. Schwartz; Robert D. Mare Abstract This paper adapts the population balancing equation to develop a framework for studying the proximate determinants of educational homogamy. Using data from the National Longitudinal Survey of Youth on a cohort of women born between 1957 and 1964, we...
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Includes: Supplementary data
Journal Article
Demography (2013) 50 (6): 2209–2225.
Published: 01 August 2013
...Iñaki Permanyer; Joan García; Albert Esteve Abstract In this article, we explore the impacts that education expansion and increased levels in educational homogamy have had on couples’ isolated illiteracy rates, defined as the proportion of illiterates in union that are married to an illiterate...
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Includes: Supplementary data
Journal Article
Demography (2021) 58 (6): 2219–2241.
Published: 01 December 2021
... is related to their partnership dynamics, specifically, whether there is parental divorce homogamy and whether a history of parental divorce for both partners is associated with increased dissolution risks for cohabiting and married unions. We use Finnish Census Panel data on 28,021 cohabiting and marital...
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Includes: Supplementary data
Journal Article
Demography (2021) 58 (2): 527–550.
Published: 01 April 2021
...Yifan Shen Abstract More married couples today consist of two high-earning or two low-earning partners (i.e., earnings homogamy), which leads to greater earnings inequality in married-couple families. Surprisingly few studies have examined this relationship by earnings level, leaving open...
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Includes: Supplementary data
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in Explaining Declining Educational Homogamy: The Role of Institutional Changes in Higher Education in Japan
> Demography
Published: 01 December 2022
Fig. 3 Observed and expected distributions of homogamy, hypergamy, and hypogamy, by marriage cohort
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in Explaining Declining Educational Homogamy: The Role of Institutional Changes in Higher Education in Japan
> Demography
Published: 01 December 2022
Fig. 5 Changes in the homogamy and crossing parameters, by marriage cohort. Panel a is estimated by Model 3a, panel b is estimated by Model 4d, and panel c is estimated by Model 5a. Coefficients on the y -axis show the degree to which educational assortative mating varies by marriage cohort
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in International Migration and Educational Assortative Mating in Mexico and the United States
> Demography
Published: 15 March 2012
Fig. 1 Odds of crossing an educational barrier relative to the odds of homogamy, by community-level of migration (wives aged 18–40), Mexico. Odds are computed based on Model 4 for Mexico (see Table 5 ). Categories for community-level migration are as follows: LL: low levels of male and female
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in The Proximate Determinants of Educational Homogamy: The Effects of First Marriage, Marital Dissolution, Remarriage, and Educational Upgrading
> Demography
Published: 27 March 2012
Fig. 3 Odds of educational homogamy in prevailing marriages, new first marriages, and simulated prevailing marriages. Data are weighted using 1979 sampling weights. Estimates are from log-linear models using data from multistate life tables. Source: National Longitudinal Survey of Youth
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in The Proximate Determinants of Educational Homogamy: The Effects of First Marriage, Marital Dissolution, Remarriage, and Educational Upgrading
> Demography
Published: 27 March 2012
Fig. 4 Odds of educational homogamy in the stocks and flows of marriages. Data are weighted using 1979 sampling weights. Estimates are from log-linear models using data from multistate life tables. Wives are aged 18 to 41. Source: National Longitudinal Survey of Youth (NLSY79), 1979–2002
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Published: 01 August 2013
Fig. 2 Kernel density of the values of the relative force of homogamy ( ). The vertical line indicates the mean value of the distribution (which equals 62). Authors’ calculations using 217 IPUMS and DHS samples from 1970 to 2010
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Published: 01 August 2013
Fig. 2 Kernel density of the values of the relative force of homogamy ( ). The vertical line indicates the mean value of the distribution (which equals 62). Authors’ calculations using 217 IPUMS and DHS samples from 1970 to 2010
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in The Nonlinear Linkage Between Earnings Homogamy and Earnings Inequality Among Married Couples
> Demography
Published: 01 April 2021
Fig. 2 Trends in the overall level of earnings homogamy in urban China: 1988–2013. Source: CHIP 1988, 1995, 2002, 2013.
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in The Nonlinear Linkage Between Earnings Homogamy and Earnings Inequality Among Married Couples
> Demography
Published: 01 April 2021
Fig. 3 Changes in the pattern of earnings homogamy in urban China: 1988–2013. HE = husband's earnings category. WE = wife's earnings category. Cell numbers refer to (change in) sorting parameters as defined in the main text.
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in The Nonlinear Linkage Between Earnings Homogamy and Earnings Inequality Among Married Couples
> Demography
Published: 01 April 2021
Fig. 4 Comparison of the changing pattern of earnings homogamy between urban China and the United States. HE = Husband's earnings category. WE = Wife's earnings category. Cell numbers refer to (change in) sorting parameters as defined in the main text. Periods start from 1970 for the United
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in The Nonlinear Linkage Between Earnings Homogamy and Earnings Inequality Among Married Couples
> Demography
Published: 01 April 2021
Fig. 5 Proportional contribution of changes in earnings homogamy between each decile of husbands and their wives to the overall impact of changes in earnings homogamy to between-couple earnings inequality. The figure is a visualization of Table 1 (column E, panel b) and Table 2 .
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