IDEAS home Printed from https://ideas.repec.org/p/usg/dp2010/2010-28.html
   My bibliography  Save this paper

The Estimation of Causal Effects by Difference-in-Difference Methods

Author

Listed:
  • Michael Lechner

Abstract

This survey gives a brief overview of the literature on the difference-in-difference (DiD) estimation strategy and discusses major issues using a treatment effect perspective. In this sense, this survey gives a somewhat different view on DiD than the standard textbook discussion of the difference-in-difference model, but it will also not be as complete as the latter. This survey contains also a couple of extensions to the literature, for example, a discussion of and suggestions for non-linear DiD as well as DiD based on propensity-score type matching methods.

Suggested Citation

  • Michael Lechner, 2010. "The Estimation of Causal Effects by Difference-in-Difference Methods," University of St. Gallen Department of Economics working paper series 2010 2010-28, Department of Economics, University of St. Gallen, revised Oct 2011.
    • Handle: RePEc:usg:dp2010:2010-28
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/dp2010/DP-1028-Le.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
    2. Philip J. Cook & George Tauchen, 1982. "The Effect of Liquor Taxes on Heavy Drinking," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 379-390, Autumn.
    3. 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.
    4. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    5. Timothy G. Conley & Christopher R. Taber, 2011. "Inference with "Difference in Differences" with a Small Number of Policy Changes," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 113-125, February.
    6. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    7. 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.
    8. Annette Bergemann & Bernd Fitzenberger & Stefan Speckesser, 2009. "Evaluating the dynamic employment effects of training programs in East Germany using conditional difference-in-differences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 797-823.
    9. Timothy Besley & Robin Burgess, 2004. "Can Labor Regulation Hinder Economic Performance? Evidence from India," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 91-134.
    10. Hunt, Jennifer, 1995. "The Effect of Unemployment Compensation on Unemployment Duration in Germany," Journal of Labor Economics, University of Chicago Press, vol. 13(1), pages 88-120, January.
    11. Eichler, Martin & Lechner, Michael, 2002. "An evaluation of public employment programmes in the East German State of Sachsen-Anhalt," Labour Economics, Elsevier, vol. 9(2), pages 143-186, April.
    12. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    13. Stéphane Bonhomme & Ulrich Sauder, 2011. "Recovering Distributions in Difference-in-Differences Models: A Comparison of Selective and Comprehensive Schooling," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 479-494, May.
    14. Jonathan Gruber & James M. Poterba, 1993. "Tax Incentives and the Decision to Purchase Health Insurance: Evidence from the Self-Employed," NBER Working Papers 4435, National Bureau of Economic Research, Inc.
    15. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, June.
    16. Aaron S. Yelowitz, 1995. "The Medicaid Notch, Labor Supply, and Welfare Participation: Evidence from Eligibility Expansions," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 909-939.
    17. 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.
    18. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    19. 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.
    20. David H. Autor, 2003. "Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 1-42, January.
    21. 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.
    22. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    23. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," Review of Economic Studies, Oxford University Press, vol. 72(1), pages 1-19.
    24. Nada Eissa, 1996. "Labor Supply and the Economic Recovery Tax Act of 1981," NBER Chapters, in: Empirical Foundations of Household Taxation, pages 5-38, National Bureau of Economic Research, Inc.
    25. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    26. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    27. Waldfogel, Jane, 1998. "The Family Gap for Young Women in the United States and Britain: Can Maternity Leave Make a Difference?," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 505-545, July.
    28. Havnes, Tarjei & Mogstad, Magne, 2015. "Is universal child care leveling the playing field?," Journal of Public Economics, Elsevier, vol. 127(C), pages 100-114.
    29. Martin Ravallion & Emanuela Galasso & Teodoro Lazo & Ernesto Philipp, 2005. "What Can Ex-Participants Reveal about a Program’s Impact?," Journal of Human Resources, University of Wisconsin Press, vol. 40(1).
    30. Jonathan Gruber & James Poterba, 1994. "Tax Incentives and the Decision to Purchase Health Insurance: Evidence from the Self-Employed," The Quarterly Journal of Economics, Oxford University Press, vol. 109(3), pages 701-733.
    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. 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.
    2. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    3. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    4. Christian Volpe Martincus, 2010. "Odyssey in International Markets: An Assessment of the Effectiveness of Export Promotion in Latin America and the Caribbean," IDB Publications (Books), Inter-American Development Bank, number 16458, February.
    5. Michael Weber, 2016. "The short-run and long-run effects of decentralizing public employment services," ifo Working Paper Series 209, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    7. Rösner, Anja & Haucap, Justus & Heimeshoff, Ulrich, 2020. "The impact of consumer protection in the digital age: Evidence from the European Union," International Journal of Industrial Organization, Elsevier, vol. 73(C).
    8. Sampaio, Breno, 2010. "On the identification of the effect of prohibiting hand-held cell phone use while driving: Comment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 766-770, November.
    9. Erlend E. Bø & Joel Slemrod & Thor O. Thoresen, 2015. "Taxes on the Internet: Deterrence Effects of Public Disclosure," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 36-62, February.
    10. Herrero Prieto, Luis César, 2009. "La investigación en economía de la cultura en España: un estudio bibliométrico/Research in Cultural Economics in Spain: A Bibliometric Study," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 35-62, Abril.
    11. 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.
    12. Schumann, Mathias, 2017. "The effects of minimum wages on firm-financed apprenticeship training," Labour Economics, Elsevier, vol. 47(C), pages 163-181.
    13. Andrea ALBANESE & Bart COCKX, 2015. "Permanent Wage Cost Subsidies for Older Workers. An Effective Tool for Increasing Working Time and Postponing Early Retirement?," LIDAM Discussion Papers IRES 2015006, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    14. Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
    15. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    16. Ahlfeldt, Gabriel M., 2018. "Weights to address non‐parallel trends in panel difference‐in‐differences models," LSE Research Online Documents on Economics 87666, London School of Economics and Political Science, LSE Library.
    17. Li, Sujuan & Liu, Jiaguo & Kong, Yudan, 2021. "Pilot free trade zones and Chinese port-listed companies performance: An empirical research based on quasi-natural experiment," Transport Policy, Elsevier, vol. 111(C), pages 125-137.
    18. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).
    19. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference For Clustered Errors," Working Paper 1315, Economics Department, Queen's University.
    20. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.

    More about this item

    Keywords

    Causal inference; counterfactual analysis; before-after-treatment-control design; control group design with pretest and posttest;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:usg:dp2010:2010-28. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/vwasgch.html .

    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: Martina Flockerzi (email available below). General contact details of provider: https://edirc.repec.org/data/vwasgch.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.