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Empiryczna rewolucja. Nagroda Banku Szwecji im. Alfreda Nobla w 2021 r.: David Card, Joshua Angrist, Guido Imbens

Author

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  • Dominik Buttler

Abstract

W artykule opisano istotę schematu quasi-eksperymentalnego wykorzystywanego i twórczo rozwijanego przez laureatów tegorocznej Nagrody Nobla. W szczególności scharakteryzowano cztery najpopularniejsze metody stosowane w ramach tego podejścia: model regresji nieciągłej, techniki parowania statystycznego, metodę różnicy w różnicach oraz regresję ze zmienną instrumentalną. Następnie przedstawiono istotę „rewolucji wiarygodności”, która – m.in. za sprawą Davida Carda, Joshuy Angrista i Guido Imbensa – odmieniła sposób uprawiania współczesnej ekonomii i wprowadziła metody quasi-eksperymentalne do kanonu ekonometrii. Na tym tle został zarysowany dorobek tegorocznych laureatów zarówno w odniesieniu do metod ekonometrycznych, jak i wiedzy ekonomicznej w trzech obszarach: edukacji, migracji międzynarodowych i rynku pracy. W artykule omówiono również ograniczenia podejścia empirycznego reprezentowanego przez noblistów. W ostatniej części zaprezentowano sylwetkę Alana Kruegera, wieloletniego współpracownika tegorocznych laureatów, który – gdyby żył – z pewnością dołączyłby do grona nagrodzonych ekonomicznym Noblem.

Suggested Citation

  • Dominik Buttler, 2022. "Empiryczna rewolucja. Nagroda Banku Szwecji im. Alfreda Nobla w 2021 r.: David Card, Joshua Angrist, Guido Imbens," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 1, pages 114-126.
    • Handle: RePEc:aoq:ekonom:y:2022:i:1:p:114-126
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    References listed on IDEAS

    as
    1. 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.
    2. Joshua D. Angrist & Alan B. Krueger, 1991. "Estimating the Payoff to Schooling Using the Vietnam-era Draft Lottery," Working Papers 670, Princeton University, Department of Economics, Industrial Relations Section..
    3. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    More about this item

    Keywords

    ekonomia rynku pracy; ekonomia edukacji; metody quasi-eksperymentalne;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • F2 - International Economics - - International Factor Movements and International Business
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

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