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How to do empirical economics

Author

Listed:
  • Francis Kamarz (editor)

    (INSEE)

  • Joshua D. Angrist

    (MIT)

  • David M. Blau

    (University of North Carolina)

  • Armin Falk

    (University of Bonn)

  • Jean-Marc Robin

    (Université de Paris 1)

  • Christopher R. Taber

    (Northwestern University)

Abstract

This article presents a discussion among leading economists on how to do empirical research in economics. The participants discuss their reasons for starting research projects, data base construction, the methods they use, the role of theory, and their views on the main alternative empirical approaches. The article ends with a discussion of a set of articles which exemplify best practice in empirical work.

Suggested Citation

  • Francis Kamarz (editor) & Joshua D. Angrist & David M. Blau & Armin Falk & Jean-Marc Robin & Christopher R. Taber, 2006. "How to do empirical economics," Investigaciones Economicas, Fundación SEPI, vol. 30(2), pages 179-206, May.
    • Handle: RePEc:iec:inveco:v:30:y:2006:i:2:p:179-206
    as

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    References listed on IDEAS

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    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Heckman, James J & Lochner, Lance & Taber, Christopher, 1998. "General-Equilibrium Treatment Effects: A Study of Tuition Policy," American Economic Review, American Economic Association, vol. 88(2), pages 381-386, May.
    4. Armin Falk, 2004. "Charitable Giving as a Gift Exchange – Evidence from a Field Experiment (new title: Gift-Exchange in the Field)," CESifo Working Paper Series 1218, CESifo.
    5. Riedl, Arno & van Winden, Frans, 2012. "Input versus output taxation in an experimental international economy," European Economic Review, Elsevier, vol. 56(2), pages 216-232.
    6. Martin Brown & Armin Falk & Ernst Fehr, 2004. "Relational Contracts and the Nature of Market Interactions," Econometrica, Econometric Society, vol. 72(3), pages 747-780, May.
    7. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2005. "Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey," Discussion Papers of DIW Berlin 511, DIW Berlin, German Institute for Economic Research.
    8. Armin Falk, "undated". "Charitable Giving as a Gift Exchange - Evidence from a Field Experiment," IEW - Working Papers 168, Institute for Empirical Research in Economics - University of Zurich.
    9. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    10. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
    11. Armin Falk & Michael Kosfeld, "undated". "Distrust - The Hidden Cost of Control," IEW - Working Papers 193, Institute for Empirical Research in Economics - University of Zurich.
    12. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
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    Cited by:

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    2. Dani Rodrik, 2013. "When Ideas Trump Interests : Preferences, World Views, and Policy  Innovations," Working Papers id:5558, eSocialSciences.

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    More about this item

    Keywords

    Empirical research; econometric methods;

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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