IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/113362.html
   My bibliography  Save this paper

Natürliche experimente im arbeitsmarkt und darüber hinaus: Nobelpreis für David Card, Joshua Angrist und Guido Imbens

Author

Listed:
  • Jäger, Simon
  • Pischke, Jörn Steffen

Abstract

This year’s Nobel Prize in Economics honoured David Card of the University of California, Berkeley “for his empirical contributions to labour economics”, and Joshua Angrist of MIT and Guido Imbens of Stanford University “for their methodological contributions to the analysis of causal relationships”. We explain how the laureates revolutionised the analysis of causal relationships in empirical economics through the methodology of natural experiments. Three examples from the German labour market on the effects of minimum wages, code-termination and unemployment insurance illustrate how natural experiments yield new insights, which can form the foundation for evidence-based policy advice.

Suggested Citation

  • Jäger, Simon & Pischke, Jörn Steffen, 2021. "Natürliche experimente im arbeitsmarkt und darüber hinaus: Nobelpreis für David Card, Joshua Angrist und Guido Imbens," LSE Research Online Documents on Economics 113362, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:113362
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/113362/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Jäger & Benjamin Schoefer & Jörg Heining, 2021. "Labor in the Boardroom," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 669-725.
    2. Jensen, Michael C & Meckling, William H, 1979. "Rights and Production Functions: An Application to Labor-managed Firms and Codetermination," The Journal of Business, University of Chicago Press, vol. 52(4), pages 469-506, October.
    3. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    4. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
    5. Simon Jäger & Benjamin Schoefer & Jörg Heining, 0. "Labor in the Boardroom," The Quarterly Journal of Economics, Oxford University Press, vol. 136(2), pages 669-725.
    6. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    7. David Card, 1990. "The Impact of the Mariel Boatlift on the Miami Labor Market," ILR Review, Cornell University, ILR School, vol. 43(2), pages 245-257, January.
    8. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    9. David Card & Raj Chetty & Andrea Weber, 2007. "Cash-on-Hand and Competing Models of Intertemporal Behavior: New Evidence from the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1511-1560.
    10. Orley Ashenfelter, 1974. "The Effect of Manpower Training Earnings: Preliminary Results," Working Papers 440, Princeton University, Department of Economics, Industrial Relations Section..
    11. Johannes F. Schmieder† & Till von Wachter & Stefan Bender, 2011. "The Effects Of Extended Unemployment Insurance Over The Business Cycle: Evidence From Regression Discontinuity Estimates Over Twenty Years," Boston University - Department of Economics - Working Papers Series WP2011-063, Boston University - Department of Economics.
    12. Alan B. Krueger & David Card, 2000. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania: Reply," American Economic Review, American Economic Association, vol. 90(5), pages 1397-1420, December.
    13. Florian Dorn & Denise Feldner & Michael Herter & Andreas Peichl & Barbara Wawrzyniak, 2021. "Die konsequente Nutzung von Daten zur effektiven Bekämpfung der Pandemie," ifo Schnelldienst Digital, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 2(11), pages 01-08, May.
    14. Raj Chetty, 2009. "Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 451-488, May.
    15. Fuchs-Schündeln, N. & Hassan, T.A., 2016. "Natural Experiments in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 923-1012, Elsevier.
    16. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    17. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    18. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    19. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    20. Allison J. Sovey & Donald P. Green, 2011. "Instrumental Variables Estimation in Political Science: A Readers’ Guide," American Journal of Political Science, John Wiley & Sons, vol. 55(1), pages 188-200, January.
    21. repec:pri:indrel:dsp01pn89d6584 is not listed on IDEAS
    22. Johannes F. Schmieder & Till von Wachter & Stefan Bender, 2012. "The Effects of Extended Unemployment Insurance Over the Business Cycle: Evidence from Regression Discontinuity Estimates Over 20 Years," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 701-752.
    23. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    24. 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.
    25. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    26. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    27. Stephen Machin & Alan Manning, 1994. "The Effects of Minimum Wages on Wage Dispersion and Employment: Evidence from the U.K. Wages Councils," ILR Review, Cornell University, ILR School, vol. 47(2), pages 319-329, 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. Simon Jäger & Jörn-Steffen Pischke, 2021. "Natürliche Experimente im Arbeitsmarkt und darüber hinaus [Natural Experiments in Labor Economics and Beyond]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(12), pages 977-983, December.
    2. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    3. van der Klaauw, Bas, 2014. "From micro data to causality: Forty years of empirical labor economics," Labour Economics, Elsevier, vol. 30(C), pages 88-97.
    4. 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.
    5. 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.
    6. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    7. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    8. Xu, Ke-Li, 2018. "A semi-nonparametric estimator of regression discontinuity design with discrete duration outcomes," Journal of Econometrics, Elsevier, vol. 206(1), pages 258-278.
    9. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    10. Bertanha, Marinho & Moreira, Marcelo J., 2020. "Impossible inference in econometrics: Theory and applications," Journal of Econometrics, Elsevier, vol. 218(2), pages 247-270.
    11. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    12. Pauline Leung & Christopher J. O'Leary, 2015. "Should UI Eligibility Be Expanded to Low-Earning Workers? Evidence on Employment, Transfer Receipt, and Income from Administrative Data," Upjohn Working Papers 15-236, W.E. Upjohn Institute for Employment Research.
    13. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    14. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    15. Joshua D. Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path From Cause to Effect," Econometrica, Econometric Society, vol. 90(6), pages 2509-2539, November.
    16. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    17. Kugler Franziska & Schwerdt Guido & Wößmann Ludger, 2014. "Ökonometrische Methoden zur Evaluierung kausaler Effekte der Wirtschaftspolitik," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(2), pages 105-132, June.
    18. Jens Ruhose, 2015. "Microeconometric Analyses on Economic Consequences of Selective Migration," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 61.
    19. Le Barbanchon, Thomas, 2016. "The effect of the potential duration of unemployment benefits on unemployment exits to work and match quality in France," Labour Economics, Elsevier, vol. 42(C), pages 16-29.

    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • N0 - Economic History - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ehl:lserod:113362. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.