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.
Ohio State University Center for Human Resource Research
This site was created at the Center for Human Resource Research (CHRR) at The Ohio State University to commemorate the 50th anniversary of the National Longitudinal Surveys (NLS). The NLS is a program of the U.S. Bureau of Labor Statistics. CHRR has conducted the NLS since the program began in 1965, in partnership with the U.S. Census Bureau (from 1965 to 2003) and NORC at the University of Chicago (from 1978 to the present).