2002
DOI: 10.1162/003355302760193940
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How Do Sex Ratios Affect Marriage and Labor Markets? Evidence from America's Second Generation

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 462 publications
(438 citation statements)
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“…20 Chiappori, Fortin, and Lacroix (2002) find that the state of the marriage market, reflected in the sex ratio and divorce laws, is an important determinant of the intra-household decision process. Angrist (2002) brings support to the idea that higher sex ratios increase female bargaining power in the marriage market.…”
Section: Resultsmentioning
confidence: 76%
“…20 Chiappori, Fortin, and Lacroix (2002) find that the state of the marriage market, reflected in the sex ratio and divorce laws, is an important determinant of the intra-household decision process. Angrist (2002) brings support to the idea that higher sex ratios increase female bargaining power in the marriage market.…”
Section: Resultsmentioning
confidence: 76%
“…Indeed, when there are too many men, the nature of relationships change. For example, Angrist found that, among immigrants to the USA, high sex ratios had a large positive effect on the likelihood of female marriage and a large negative effect on female labor force participation; with men providing investment, women could avoid wage labor [37]. In general, malebiased sex ratios are associated with a greater proportion of males being married [34,38], less promiscuity in both sexes [36,39,40], and greater conjugal stability [41], all of which might contribute to the lower I s values for men shown in Box 2.…”
Section: Box 1 Changing the Direction Of The Causal Arrow Between Pimentioning
confidence: 99%
“…5 This decrease should not be surprising, because the sampling error tends to bias the OLS estimator toward zero. However, the exercise in Column (I) suggests that the impact of gender imbalance could be severely underestimated in empirical studies where each sex ratio is estimated by around 5 × 10 4 or fewer observations, see, e.g., Angrist (2002), Edlund et al (2009), if the sampling error is ignored.…”
Section: Application Ii: Sex Ratiomentioning
confidence: 99%