Harris School of Public Policy, University of Chicago
Former principal investigator of the NLSY97
NLS user since 1990
(with Yu-Chieh Hsu, Seth Sanders, Lynne Schofield, and Lowell Taylor). “Black-White Mortality Differentials at Older Ages: Inferential Difficulties and New Evidence”
(with J. Smith) “Estimating the Returns to College Quality with Multiple Proxies for Quality” Journal of Labor Economics July 2006 24(3) 701-28.
(with K. Daniel and J. Smith) “College Quality and the Wages in the United States” German Economic Review August 2005 6(3) 415-43.
(with J. Smith) “How Robust is the Evidence on the Effects of College Quality? Evidence from Matching” Journal of Econometrics August 2004 121(1-2) 99-124
(with K. Daniel and J. Smith) “Racial Differences in the Effects of College Quality and Student Body Diversity on Wages.” In Gary Orfield (ed.), Diversity Challenged Cambridge: Harvard Education Publishing Group, 2001, 221-31.
What I learned from NLS data
1. Robust relationship between the quality of higher education institution and subsequent earnings.
2. Inference about black-white difference in mortality difference are dramatically affected by measurement error.
Why I chose NLS data
1. Presence of AFQT and college quality measure in the 1979 cohort.
2. Early cohorts provide a sample of nearly completed lifetimes.
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).