Robert Moffitt


Department of Economics, Johns Hopkins University

Former chair of the NLS Technical Review Committee

NLS user since 1985

  • "The Estimation of a Joint Wage-Hours Labor Supply Model," Journal of Labor Economics, 1984, 4(2), 550-66.
  • "Beyond Single Mothers: Cohabitation and Marriage in the AFDC Program," Demography, 1998, 35(3): 259-78 (with R. Reville and A. Winkler)
  • "Experience-Based Measures of Heterogeneity in the Welfare Caseload," In Studies of Welfare Populations: Data Collection and Research Issues, 2001, eds. R. Moffitt and M. Ver Ploeg, National Research Council, Washington, DC
  • "Handedness and Earnings," Laterality, 2007, 42:102-120 (with J. Harrington and C. Ruebeck)
What I learned from NLS data

What I have learned from my research with the NLS data is the enormous heterogeneity of the U.S. population by income, education, labor force attachment, family structure, and other social dimensions. The U.S. is not a single population but a collection of subpopulations with different environments, experiences, and outcomes.

Why I chose NLS data

The NLS is uniquely suited for longitudinal analysis of labor market, family, income, and other outcomes. In addition, its rich collection of hundreds of characteristics of individuals and families make it a rich data set even for cross-sectional analysis.