Orley Ashenfelter

Joseph Douglas Green 1895 Professor of Economics

Industrial Relations Section, Princeton University

NLS user since 1978

Citations
  • Ashenfelter, Orley and David E. Card. Handbook of Labor Economics Volume 4B. Elsevier: North Holland, Amsterdam, The Netherlands, 2011.
  • Ashenfelter, Orley and Cecilia Elena Rouse. "Schooling, Intelligence, and Income in America: Cracks in the Bell Curve." NBER Working Paper No. 6902, National Bureau of Economic Research, January 1999.
  • Ashenfelter, Orley and David J. Zimmerman. "Estimates of the Returns to Schooling from Sibling Data: Fathers Sons and Brothers." The Review of Economics and Statistics 79,1 (February 1997): 1-9.
  • Ashenfelter, Orley and Gary Solon. "Longitudinal Labor Market Data: Sources, Uses, and Limitations." Report, Washington DC: Assessment of Labor Force Measurements for Policy Formulation, National Council on Employment Policy, 1982.
  • Ashenfelter, Orley and David E. Card. "Using Longitudinal Data to Estimate the Employment Effects of the Minimum Wage." Discussion Paper No. 98, Centre for Labour Economics, London School of Economics, September 1981.
  • Ashenfelter, Orley and Ronald L. Oaxaca. "Secretary of Labor's Invitational Conference on the National Longitudinal Surveys of Young Men and Young Women." Report, Employment and Training Administration, U.S. Department of Labor, 1979.
What I learned from NLS data

The NLS has an invaluable structure and provided me with key insights about the variability of wages over time as opposed to across individuals. This was information useful for me, at least, in both several micro and macro applications.

Why I chose NLS data

It may be of some small interest that I go back so far as to actually have known Herbert Parnes, the Ohio State University professor responsible for the original NLS. I remember him as a dapper man who explained to several of us in a seminar at Princeton how valuable the NLS could be. He was right and made a remarkable contribution to our infrastructure for studying the US labor market.