IDEAS home Printed from https://ideas.repec.org/a/aea/jecper/v31y2017i2p125-44.html
   My bibliography  Save this article

Undergraduate Econometrics Instruction: Through Our Classes, Darkly

Author

Listed:
  • Joshua D. Angrist
  • Jörn-Steffen Pischke

Abstract

The past half-century has seen economic research become increasingly empirical, while the nature of empirical economic research has also changed. In the 1960s and 1970s, an empirical economist's typical mission was to "explain" economic variables like wages or GDP growth. Applied econometrics has since evolved to prioritize the estimation of specific causal effects and empirical policy analysis over general models of outcome determination. Yet econometric instruction remains mostly abstract, focusing on the search for "true models" and technical concerns associated with classical regression assumptions. Questions of research design and causality still take a back seat in the classroom, in spite of having risen to the top of the modern empirical agenda. This essay traces the divergent development of econometric teaching and empirical practice, arguing for a pedagogical paradigm shift.

Suggested Citation

  • 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.
  • Handle: RePEc:aea:jecper:v:31:y:2017:i:2:p:125-44
    Note: DOI: 10.1257/jep.31.2.125
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/articles?id=10.1257/jep.31.2.125
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=SP6nG7s1PAWYOikk1ax5QlL6ov1b7MGT
    Download Restriction: no

    File URL: https://www.aeaweb.org/articles/attachments?retrieve=GOK7pOFkloJx86hQkY2JMPP59sHf9UV4
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    2. 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.
    3. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    4. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    5. Peter Arcidiacono & Esteban M. Aucejo & V. Joseph Hotz, 2016. "University Differences in the Graduation of Minorities in STEM Fields: Evidence from California," American Economic Review, American Economic Association, vol. 106(3), pages 525-562, March.
    6. J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
    7. Daniel S. Hamermesh, 2013. "Six Decades of Top Economics Publishing: Who and How?," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 162-172, March.
    8. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    9. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    10. Joshua D. Angrist, 1998. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
    11. 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.
    12. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    13. William E. Becker & William H. Greene, 2001. "Teaching Statistics and Econometrics to Undergraduates," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 169-182, Fall.
    14. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    15. Dougherty, Christopher, 2016. "Introduction to Econometrics," OUP Catalogue, Oxford University Press, edition 5, number 9780199676828.
    16. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    17. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    18. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    19. White, Halbert, 1980. "Using Least Squares to Approximate Unknown Regression Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 149-170, February.
    20. Yitzhaki, Shlomo, 1996. "On Using Linear Regressions in Welfare Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 478-486, October.
    21. Joshua D. Angrist & Jörn-Steffen Pischke, 2015. "The path from cause to effect: mastering 'metrics," CentrePiece - The magazine for economic performance 442, Centre for Economic Performance, LSE.
    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. Joshua D. Angrist & Jorn-Steffen Pischke, 2019. "Undergraduate econometrics instruction: through our classes, darkly (in Russian)," Quantile, Quantile, issue 14, pages 1-20, June.
    2. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    3. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    4. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    5. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
    6. 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.
    7. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    8. Rok Spruk & Mitja Kovac, 2019. "Transaction costs and economic growth under common legal system: State‐level evidence from Mexico," Economics and Politics, Wiley Blackwell, vol. 31(2), pages 240-292, July.
    9. Rok Spruk & Mitja Kovac, 2018. "Inefficient Growth," Review of Economics and Institutions, Università di Perugia, vol. 9(2).
    10. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    11. Jonah B. Gelbach & Doug Miller, 2009. "Robust Inference with Multi-way Clustering," Working Papers 226, University of California, Davis, Department of Economics.
    12. aus dem Moore, Jan Peter & Spitz-Oener, Alexandra, 2012. "Bye bye, GI: The impact of the US military drawdown on local German labor markets," SFB 649 Discussion Papers 2012-024, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    13. Maldonado, Stanislao, 2014. "The Non-Monotonic Political Effects of Resource Booms," MPRA Paper 85649, University Library of Munich, Germany, revised 18 Dec 2017.
    14. Marianna Schaubert, 2023. "Do Alimony Regulations Matter Inside Marriage? Evidence from the 2008 Reform of the German Maintenance Law," Journal of Labor Research, Springer, vol. 44(1), pages 145-178, June.
    15. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    16. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    17. P. Dorian Owen, 2017. "Evaluating Ingenious Instruments for Fundamental Determinants of Long-Run Economic Growth and Development," Econometrics, MDPI, vol. 5(3), pages 1-33, September.
    18. Mitja Kovac & Salvini Datta & Rok Spruk, 2021. "Pharmaceutical Product Liability, Litigation Regimes, and the Propensity to Patent: An Empirical Firm-Level Investigation," SAGE Open, , vol. 11(2), pages 21582440211, April.
    19. Miroslav Verbič & Rok Spruk, 2019. "Political economy of pension reforms: an empirical investigation," European Journal of Law and Economics, Springer, vol. 47(2), pages 171-232, April.
    20. Mikael Lindahl & Alan B. Krueger, 2001. "Education for Growth: Why and for Whom?," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.

    More about this item

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

    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:aea:jecper:v:31:y:2017:i:2:p:125-44. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.