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From Micro Data to Causality: Forty Years of Empirical Labor Economics

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  • van der Klaauw, Bas

    () (Vrije Universiteit Amsterdam)

Abstract

This overview describes the development of methods for empirical research in the field of labor economics during the past four decades. This period is characterized by the use of micro data to answer policy relevant research question. Prominent in the literature is the search for exogenous variation in treatment assignment which can be exploited to estimate causal effects. With the increased availability of detailed administrative data empirical labor economics and more generally empirical microeconomics will become an even more prominent field in economics research.

Suggested Citation

  • van der Klaauw, Bas, 2014. "From Micro Data to Causality: Forty Years of Empirical Labor Economics," IZA Discussion Papers 8047, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp8047
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    Cited by:

    1. Marek Gora & Piotr Lewandowski & Maciej Lis, 2017. "Temporary employment boom in Poland – a job quality vs. quantity trade-off?," IBS Working Papers 04/2017, Instytut Badan Strukturalnych.
    2. repec:gam:jecnmx:v:4:y:2015:i:1:p:1:d:61313 is not listed on IDEAS
    3. Karlsson, Maria & Lundin, Mathias, 2016. "On statistical methods for labor market evaluation under interference between units," Working Paper Series 2016:24, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Martijn Smit, 2017. "Following Your Job," Papers in Evolutionary Economic Geography (PEEG) 1718, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2017.
    5. Duo Qin & Sophie van Huellen & Qing-Chao Wang, 2015. "How Credible Are Shrinking Wage Elasticities of Married Women Labour Supply?," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-31, December.

    More about this item

    Keywords

    labor market behavior; experiments; selection; endogeneity; treatment effects; microeconometrics;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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