We analyze an equilibrium search model with three sources for wage and unemployment differentials among workers with the same (observed) human capital but different appearance (race): unobserved productivity, search intensities, and discrimination due to an appearance-based employer disutility factor. We show that the structural parameters are identified using labor market survey data. Estimation results for a black and white high school graduate sample imply: black productivity is 3.3% lower than white productivity; the employer's disutility factor is 31% of the white's productivity level; and 56% of firms have a disutility factor toward blacks.
Separate identification of the price and quantity of human capital has important implications for understanding key issues in labor economics and macroeconomics. Price and quantity series are derived and subjected to robustness checks. The human capital price series associated with different education levels are highly correlated and exhibit a strong secular trend. Three resulting implications are explored: (1) using the derived quantities life-cycle profiles are re-examined; (2) the rising college premium is reinterpreted and found to be mainly driven by relative quantity changes, and (3) adjusting the labor input for quality increases dramatically reduces the contribution of MFP to growth. * The authors wish to thank Lance Lochner and Todd Stinebrickner for helpful comments and discussion.
Conventional wisdom suggests abused women get caught in a cycle of violence and are unable or unwilling to leave their spouses. We estimate a model of domestic violence to determine who abuses, who is abused, and how women respond to abuse via employment and divorce. In contrast to conventional wisdom, abused women are 1.7-5.7 times more likely to divorce. Employment before abuse occurs is found to be a significant deterrent. For men, witnessing violence as a child is a strong predictor of abusive behavior: re-socializing men from violent homes lowers abuse rates by 26%-48%. Copyright 2006 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.