Empirical Strategies in Labor Economics
Joshua D. Angrist
Massachusetts Institute of Technology (MIT) - Department of Economics; National Bureau of Economic Research (NBER); Institute for the Study of Labor (IZA)
Alan B. Krueger
Princeton University - Industrial Relations Section; National Bureau of Economic Research (NBER); Institute for the Study of Labor (IZA)
MIT Department of Economics Working Paper No. 98-07
This chapter provides an overview of the methodological and practical issues that arise when estimating causal relationships that are of interest to labor economists. The subject matter includes identification, data collection, and measurement problems. Four identification strategies are discussed, and five empirical examples--the effects of schooling, unions, immigration, military service and class size--illustrate the methodological points. In discussing each example, we adopt an experimentalist perspective that draws a clear distinction between variables that have causal effects, control variables, and outcome variables. The chapter also discusses secondary data sets, primary data collection strategies, and administrative data. The section on measurement issues focuses on recent empirical examples, presents a summary of empirical findings on the reliability of key labor market data, and reviews the role of survey sampling weights and the allocation of missing values in empirical research.
JEL Classification: J00, J31, C10, C81working papers series
Date posted: September 11, 1998
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