Empirical strategies in labor economics
In: Handbook of Labor Economics
Abstract
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 emphasizes the distinction between variables that have causal effects, control variables, and outcome variables. The chapter also discusses secondary datasets, 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 briefly reviews the role of survey sampling weights and the allocation of missing values in empirical research.Download Info
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This item is provided by Elsevier in its series Handbook of Labor Economics with number 3-23.
Handle: RePEc:eee:labchp:3-23
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Related research
Keywords:Other versions of this item:
- Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working Papers 780, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working papers 98-7, Massachusetts Institute of Technology (MIT), Department of Economics.
- J0 - Labor and Demographic Economics - - General
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Blog mentions
As found by EconAcademics.org, the blog aggregator for Economics research:- The hitchhiker's guide to econometrics
by Chris Blattman in Chris Blattman on 2009-02-08 14:37:00 - Mostly Harmless!
by Martin Ryan in Geary Behaviour Centre on 2009-05-25 16:25:00
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