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The Empirical Economist's Toolkit: From Models to Methods

Author

Listed:
  • Matthew T. Panhans
  • John D. Singleton

Abstract

While historians of economics have noted the transition toward empirical work in economics since the 1970s, less understood is the shift toward \quasi-experimental" methods in applied microeconomics. Angrist and Pischke (2010) trumpet the wide application of these methods as a \credibility revolution" in econometrics that has nally provided persuasive answers to a diverse set of questions. Particularly in uential in the applied areas of labor, education, public, and health economics, the methods shape the knowledge produced by economists and the expertise they possess. First documenting their growth bibliometrically, this paper aims to illuminate the origins, content, and contexts of quasi-experimental research designs, which seek natural experiments to justify causal inference. To highlight lines of continuity and discontinuity in the transition, the quasi-experimental program is situated in the historical context of the Cowles econometric framework and a case study from the economics of education is used to contrast the practical implementation of the approaches. Finally, signi cant historical contexts of the paradigm shift are explored, including the marketability of quasi-experimental methods and the 1980s crisis in econometrics.

Suggested Citation

  • Matthew T. Panhans & John D. Singleton, 2015. "The Empirical Economist's Toolkit: From Models to Methods," Center for the History of Political Economy Working Paper Series 2015-3, Center for the History of Political Economy.
  • Handle: RePEc:hec:heccee:2015-3
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    File URL: http://hope.econ.duke.edu/node/1126
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    Citations

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    Cited by:

    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2017. "Undergraduate Econometrics Instruction: Through Our Classes, Darkly," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 125-144, Spring.
    2. Christopher J. Ruhm, 2019. "Shackling the Identification Police?," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1016-1026, April.
    3. Michel De Vroey & Luca Pensieroso, 2016. "The Rise of a Mainstream in Economics," LIDAM Discussion Papers IRES 2016026, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    4. Juan Andrés Cabral & Florencia Iara Pucci, 2020. "¿Cuál es el alcance de la revolución de la credibilidad?," Asociación Argentina de Economía Política: Working Papers 4318, Asociación Argentina de Economía Política.
    5. Josh Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2020. "Inside Job or Deep Impact? Extramural Citations and the Influence of Economic Scholarship," Journal of Economic Literature, American Economic Association, vol. 58(1), pages 3-52, March.
    6. Slavica Manic, 2016. "Economics Imperialism: SWOT Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(3), pages 151-161, March.
    7. Glötzl, Florentin & Aigner, Ernest, 2015. "Pluralism in the Market of Science? A citation network analysis of economic research at universities in Vienna," Ecological Economic Papers 5, WU Vienna University of Economics and Business.
    8. M.J. Boumans, 2018. "Survey on Recent Work in the History of Econometrics: A Witness Report," Working Papers 18-10, Utrecht School of Economics.
    9. José Edwards & Yann Giraud & Christophe Schinckus, 2018. "A quantitative turn in the historiography of economics?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(4), pages 283-290, October.
    10. Joshua D. Angrist & Jorn-Steffen Pischke, 2019. "Undergraduate econometrics instruction: through our classes, darkly (in Russian)," Quantile, Quantile, issue 14, pages 1-20, June.
    11. Slavica Manic, 2016. "Economics Imperialism: SWOT Analysis," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(3), pages 151-161.
    12. Nicolas Vallois & Dorian Jullien, 2017. "Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics," GREDEG Working Papers 2017-20, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    13. Nicolas Vallois & Dorian Jullien, 2018. "A history of statistical methods in experimental economics," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 25(6), pages 1455-1492, November.
    14. Joshua Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2017. "Inside Job or Deep Impact? Using Extramural Citations to Assess Economic Scholarship," NBER Working Papers 23698, National Bureau of Economic Research, Inc.
    15. Thiago Dumont Oliveira & Marwil J. Dávila-Fernández, 2020. "From modelmania to datanomics? The rise of mathematical and quantitative methods in three top economics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 51-70, April.
    16. Nicolas Vallois & Dorian Jullien, 2017. "Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics," Working Papers halshs-01651070, HAL.

    More about this item

    Keywords

    econometrics; quasi-experimental methods; natural experiments; applied economics;
    All these keywords.

    JEL classification:

    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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