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Empirical Strategies in Labor Economics

Author

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  • Joshua Angrist

    (Massachusetts Institute of Technology and NBER)

  • Alan Krueger

    (Princeton University and NBER)

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working Papers 780, Princeton University, Department of Economics, Industrial Relations Section..
  • Handle: RePEc:pri:indrel:401
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    Keywords

    empirical strategies; methodology; instrumental variables;

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • F29 - International Economics - - International Factor Movements and International Business - - - Other
    • F3 - International Economics - - International Finance

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