Harry Krashinsky


Department of Management, University of Toronto

NLS user since 1997

  • Evidence on Adverse Selection and Establishment Size in the Labor Market Industrial and Labor Relations Review, Volume 56, No. 1, October 2002, pp. 84-96.
  • Do Marital Status and Computer Usage Really Change the Wage Structure? Journal of Human Resources, Volume 39, No. 3, Summer 2004, pp. 774-791.
  • The Effect of Urban Agglomeration on Wages: Evidence from Samples of Siblings Labour Economics, Volume 18, No. 1, January 2011, pp. 79-92.
What I learned from NLS data

I've used the NLS data to learn about wage dynamics in a number of settings. First, I used the data to look at wage losses for workers displaced from their jobs for different reasons. Second, I used the data to consider whether or not certain worker characteristics (like marital status) have causal effects on wages. Third, I used the data to determine whether or not the size of the city in which a worker resides has a causal impact on his or her wages.

Why I chose NLS data

The NLS is ideal from a number of different standpoints. First, it contains siblings, which makes within-family comparisons possible. Second, it contains extremely detailed labor histories for each respondent, which is perfect for my field of study. Third, it contains standardized test scores such as the ASVAB, and that has assisted my current research on the way in which firms learn about workers. Lastly, since this is a longitudinal data source, it allows for inter-temporal analyses. This is, I think, one of the best data sources available for most practical research questions.