2009
DOI: 10.1086/599281
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Accounting for Racial Differences in Marriage and Employment

Abstract: To what extent can marriage market conditions explain differences in marriage and employment decisions across blacks and whites? I develop a dynamic, equilibrium model of marriage that is consistent with several stylized facts on racial differences in marriage and employment rates. The parameters of the model are estimated using a panel of young men and women from the US. Black-white differences in the quality and quantity of men and women in the marriage market explain 20% of the difference in marriage rates … Show more

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Cited by 46 publications
(52 citation statements)
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“…(Seitz, 2004), and an index of the generosity to the wife of local divorce legislation (Chiappori, Fortin, and Lacroix, 2002). At present, we consider the wife's share of potential labor earnings, presented in Figure 3, and the age gap between spouses as distribution factors in estimation.…”
mentioning
confidence: 99%
“…(Seitz, 2004), and an index of the generosity to the wife of local divorce legislation (Chiappori, Fortin, and Lacroix, 2002). At present, we consider the wife's share of potential labor earnings, presented in Figure 3, and the age gap between spouses as distribution factors in estimation.…”
mentioning
confidence: 99%
“…See Grossbard-Shechtman (1984), Brien (1997), Lundberg, Pollak, and Wales (1997), Chiappori, Fortin, and Lacroix (2002), Del Boca and Flinn (2005), Amuedo-Dorantes and Grossbard (2007), Seitz (2009).…”
Section: Introductionmentioning
confidence: 99%
“…Inaccurate ratios can be detrimental to estimation, and the propensity of the CPS to measure population counts with error is a likely contributor to the poor features of the ratios used by Seitz (2009). presents evidence that measurement errors in population counts might cause attenuation bias in the predicted effect of sex ratios on marriage.…”
Section: Literature Review 121 Demographic Data Limitations In Resementioning
confidence: 97%
“…6 For example, the work of Seitz (2009) relies on measuring sex ratios every year during a 15 year period for a cohort of NLSY79 respondents. 7 To construct the sex ratios for each sample year Seitz (2009) reweights the NLSY79 sampling weights so that the number of married and unmarried men and women in each marriage market match the CPS counts for that category and year. 8 After reweighting, new ratios are constructed from the counts of unmarried individuals for each market and year.…”
Section: Literature Review 121 Demographic Data Limitations In Resementioning
confidence: 99%
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