IDEAS home Printed from https://ideas.repec.org/a/aoq/ekonom/y2022i1p114-126.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ekonomista.pte.pl/pdf-150159-75880
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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..
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ge, Suqin, 2013. "Estimating the returns to schooling: Implications from a dynamic discrete choice model," Labour Economics, Elsevier, vol. 20(C), pages 92-105.
    2. Lorraine Dearden & Barbara Sianesi, 2001. "Estimating the Returns to Education: Models, Methods and Results," CEE Discussion Papers 0016, Centre for the Economics of Education, LSE.
    3. Denis Maguain, 2007. "Les rendements de l'éducation en comparaison internationale," Économie et Prévision, Programme National Persée, vol. 180(4), pages 87-106.
    4. Guo, Dong & Wang, Anyi, 2020. "Is vocational education a good alternative to low-performing students in China," International Journal of Educational Development, Elsevier, vol. 75(C).
    5. Sajjad Haider Bhatti & Muhammad Aslam & Jean Bourdon, 2018. "Market Returns to Education in Pakistan, Corrected for Endogeneity Bias," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 79-96, Jan-June.
    6. Lang, Kevin, 1993. "Ability Bias, Discount Rate Bias and the Return to Education," MPRA Paper 24651, University Library of Munich, Germany.
    7. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-1286, December.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    10. Skalli, Ali, 2007. "Are successive investments in education equally worthwhile? Endogenous schooling decisions and non-linearities in the earnings-schooling relationship," Economics of Education Review, Elsevier, vol. 26(2), pages 215-231, April.
    11. Behrman, Jere R., 1996. "Measuring the effectiveness of schooling policies in developing countries: Revisiting issues of methodology," Economics of Education Review, Elsevier, vol. 15(4), pages 345-364, October.
    12. Adrien Montalbo, 2019. "Education and economic development. The influence of primary schooling on municipalities in nineteenth-century France," Working Papers halshs-02286126, HAL.
    13. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    14. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    15. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    16. Niels-Hugo Blunch & Nabanita Datta Gupta, 2020. "Mothers’ health knowledge for children with diarrhea: who you are or who you know?," Review of Economics of the Household, Springer, vol. 18(4), pages 1131-1164, December.
    17. Doan, Tinh & Stevens, Philip, 2011. "Labour market returns to higher education in Vietnam," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-21.
    18. Colm Harmon & Hessel Oosterbeek, 2000. "The Returns to Education: A Review of Evidence, Issues and Deficiencies in the Literature," CEE Discussion Papers 0005, Centre for the Economics of Education, LSE.
    19. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    20. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aoq:ekonom:y:2022:i:1:p:114-126. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tomasz Kwarcinski (email available below). General contact details of provider: https://edirc.repec.org/data/pteeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.