Understanding Black-White Wage Differentials, 1960-1990

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How researchers see this paper

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Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture (2001, background): “Subsequent research by Brown (1984), Juhn (1997), Chandra (2000), and Heckman, Lyons, and Todd (2000) verifies the importance of accounting for dropouts in analyzing black-white wage differentials.”
People Skills and the Labor-Market Outcomes of Underrepresented Groups (2014, methodology): “Chandra (2003) studied the efficacy of the Civil Rights Act and the development of the racial wage gap in the period thereafter (see also Heckman, Lyons, and Todd 2000).”
Estimation of Censored Quantile Regression for Panel Data With Fixed Effects (2013, background): “The black–white earnings differentials is an important research area in economics with a very large literature on the subject (see, e.g., Brown 1984; Altonji and Blank 1999; Heckman, Lyons, and Todd 2000; Lang 2007).”
Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond (2005, unknown): “Heckman, Lyons, and Todd (2000), Chandra (2003) and Neal (2004) show the importance of selection adjustments in estimating wage functions, but there have been few adjustments of rates of return for selection.”
Race and Economic Opportunity in the United States: an Intergenerational Perspective* (2018, unknown): “The black-white gap in wage rates may understate the true gap in potential wages if black women with lower wage opportunities are less likely to be employed (Heckman et al. 2000).”