Warianty tytułu
Empirical Revolution : Nobel Memorial Prize in Economic Sciences in 2021: David Card, Joshua Angrist, Guido Imbens
Języki publikacji
Abstrakty
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. (abstrakt oryginalny)
The article describes the essence of the quasi-experimental scheme widely used and creatively developed by the winners of this year's Nobel Prize. In particular, the four most popular methods used within this approach are characterized: regression discontinuity design, propensity score matching, difference-in-differences method, and instrumental variable regression. Subsequently the essence of the so-called "credibility revolution" in economics is presented, which - thanks to David Card, Joshua Angrist and Guido Imbens - changed the way of conducting contemporary economic research and introduced quasi-experimental methods to the mainstream of econometrics. Against this background, the achievements of this year's laureates have been outlined both in the area of econometric methods and economic knowledge in three areas: education, international migration and the labour market. The article also discusses the limitations of the empirical approach represented by the Nobel Prize winners. The last part presents the profile of Alan Krueger, a long-time associate of this year's Laureates, who - if he were still alive - would certainly join the group of the economic Nobel Prize winners. (original abstract)
Twórcy
autor
- Uniwersytet Ekonomiczny w Poznaniu
Bibliografia
- Abadie A., Imbens G.W. (2006), Large Sample Properties of Matching Estimators for Average Treatment Effects, "Econometrica" 74(1), s. 235-267 (https://doi.org/10.llll/j.1468-0262.2006.00655.x).
- Angrist J.D., Imbens G.W., Rubin D.B. (1996), Identification of Causal Effects Using Instrumental Variables, "Journal of the American Statistical Association" 91(434), s. 444-455 (https://doi.org/10.1080/01621459.1996.10476902).
- Angrist J.D., Keueger AB. (1991), Does Compulsory School Attendance Affect Schooling and Earnings?, "The Quarterly Journal of Economics" 106(4), s. 979-1014 (https://doi.org/10.2307/2937954).
- Angrist J.D., Krueger A.B. (1992a), Estimating the Payoff to Schooling Using the Vietnam-Era Draft Lottery (Working Paper Nr 4067; Working Paper Series), National Bureau of Economic Research (https://doi.org/10.3386/w4067).
- Angrist J.D., Krueger A.B. (1992b), The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples, "Journal of the American Statistical Association" 87(418), s. 328-336 (https://doi.org/10.1080/01621459.1992.10475212).
- Angrist J.D., Lavy V. (1999), Using Maimonides' Rule to Estimate the Effect ofClass Size on Scholastic Achievement, "The Quarterly Journal of Economics" 114(2), s. 533-575 (https://doi.org/10.1162/003355399556061).
- Angrist J.D., Pischke J.-S. (2010), The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics, "Journal of Economic Perspectives" 24(2), s. 3-30 (https://doi.org/10.1257/jep.24.23).
- Angrist J.D., Pischke J.-S. (2017), Undergraduate Econometrics Instruction: Through Our Classes, Darkly, "Journal of Economic Perspectives" 31(2), s. 125-144 (https://doi.org/10.1257/jep.31.2.125).
- Answering Causal Questions Using Obsewational Data, The Committee for the Prize in Economic Sciences in Memory of Alfred Nobel (https://www.nobelprize.org/prizes/economic-sciences/2021/advanced-information/).
- Athey S., Imbens G.W. (2006), Identification and Inference in Nonlinear Difference-in-Differences Models, "Econometrica" 74(2), s. 431-497 (https://doi.org/10.llll/j.1468-0262.2006.00668.x).
- Barua R., Lang K. (2016), School Entry, Educational Attainment, and Quarter of Birth: A Cautionaty Tale of a Local Average Treatment Effect, "Journal of Human Capital" 10(3), s. 347-376 (https://doi.org/10.1086/687599).
- Bednarski T. (2013), Rola Jerzego Spławy-Neymana w kształtowaniu metod statystycznej analizy przyczynowości, "Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu" 309, s. 11-18.
- Brodeur A., Cook N., Heyes A. (2020), Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics, "American Economic Review" 110(11), s. 3634-3660 (https://doi.org/10.1257/aer.20190687).
- Buttler D., Szambelańczyk J. (2020), Eksperymentalne podejście do łagodzenia ubóstwa. Nagroda Banku Szwecji im. Alfreda Nobla w 2019 r.: Esther Duflo, Abhijit Banerjee, Michael Kremer, "Ekonomista" 1, s. 127-141.
- Card D. (1990), The Impact of the Mariel Boatlift on the Miami Labor Market, "ILR Review" 43(2), s. 245-257 (https://doi.org/10.1177/001979399004300205).
- Card D. (1993), Using Geographic Variation in College Proximity to Estimate the Return to Schooling (Working Paper Nr 4483; Working Paper Series), National Bureau of Economic Research (https://doi.org/10.3386/w4483).
- Card D. (2001), Immigrant Inflows, Native Outflows, and the Local Labor Market Impacts of Higher Immigration, "Journal of Labor Economics" 19(1), s. 22-64 (https://doi.org/10.1086/209979).
- Card D., Krueger A.B. (1992), Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States, "Journal of Political Economy" 100(1), s. 1-40 (https://doi.org/10.1086/261805).
- Card D., Krueger A.B. (1995), Myth and Measurement. The New Economics of the Minimum Wage, Princeton University Press, Princeton.
- Card D., Payne AA. (2002), School Finance Reform, the Distribution of School Spending, and the Distribution of Student Test Scores, "Journal of Public Economics" 83(1), s. 49-82 (https://doi.org/10.1016/S0047-2727(00)00177-8).
- Dale S.B., Krueger A.B. (2002), Estimating the Payoff to Attending a More Selective College: An Application of Selection on Obserrables and Unobserrables, "The Quarterly Journal of Economics" 117(4), s. 1491-1527 (https://doi.org/10.1162/003355302320935089).
- Deaton A. (2010), Instruments, Randomization, and Leaming about Development, "Journal of Economic Literature" 48(2), s. 424-455 (https://doi.Org/10.1257/jel.48.2.424).
- Frey B.B. (2018), Coleman Report, w: The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, SAGE Publications, Inc. (https://doi.org/10.4135/9781506326139).
- Imbens G., Angrist J. (1994), Identification and Estimation of Local Average Treatment Effects, "Econometrica" 62(2), s. 467-475.
- Imbens G., Kalyanaraman K. (2012), Optimal Bandwidth Choice for the Regression Discontinuity Estimator, "Review of Economic Studies" 79(3), s. 933-959.
- Imbens G.W., Lemieux T. (2008), Regression Discontinuity Designs: A guide to Practice, "Journal of Econometrics" 142(2), s. 615-635 (https://doi.org/10.1016/j.jeconom.2007.05.001).
- Imbens G.W., Wooldridge J.M. (2009), Recent Developments in the Econometrics of Program Evalua-tion, "Journal of Economic Literature" 47(1), s. 5-86 (https://doi.org/10.1257/jel.47.L5).
- Kearl J.R., Pope C.L., Whiting G.C., Wimmer L.T. (1919), A Confusion of Economists? "The American Economic Review" 69(2), s. 28-37.
- Krueger A.B. (2019), Rockonomics: A Backstage Tour of what the Music Industry can Teach Us About Economics and Life, Broadway Business, New York.
- Leamer E.E. (1983), Let's Take the Con Out of Econometrics, "The American Economic Review" 73(1), s. 31-43.
- Lee D.S., Lemieux T. (2010), Regression Discontinuity Designs in Economics, "Journal of Economic Literature" 48(2), s. 281-355 (https://doi.org/10.1257/jel.48.2.281).
- Neumark D. (2021), The True Story ofthe Minimum-Wage Fight (wywiad) (https://freakonomics.com/podcast/minimum-wage/).
- Rosenzweig M.R., Wolpin, K.I. (2000), Natural "Natural Experiments" in Economics, "Journal of Economic Literature" 38(4), s. 827-874 (https://doi.Org/10.1257/jel.38.4.827).
- Summers A.A., Wolfe B.L. (1977), Do Schools Make a Difference? "The American Economic Review" 67(4), s. 639-652.
Typ dokumentu
Bibliografia
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