IDEAS home Printed from https://ideas.repec.org/a/eee/jaecon/v74y2022i2s0165410122000647.html
   My bibliography  Save this article

Parallels between structural estimation and causal inference: A discussion of Armstrong et al. (2022)

Author

Listed:
  • Whited, Toni M.

Abstract

Armstrong et al. (2022) review the various econometric methods that have been used to draw causal inference in the accounting literature and offer an alternative method for conducting research when causal methods are not applicable. This discussion provides background for the emphasis on causal inference in accounting. It also draws parallels between the authors' proposed quasi-causal method and the structural estimation methods that have been used in finance and that are starting to be used in accounting.

Suggested Citation

  • Whited, Toni M., 2022. "Parallels between structural estimation and causal inference: A discussion of Armstrong et al. (2022)," Journal of Accounting and Economics, Elsevier, vol. 74(2).
  • Handle: RePEc:eee:jaecon:v:74:y:2022:i:2:s0165410122000647
    DOI: 10.1016/j.jacceco.2022.101541
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165410122000647
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jacceco.2022.101541?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Carola Frydman & Raven E. Saks, 2010. "Executive Compensation: A New View from a Long-Term Perspective, 1936--2005," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 2099-2138.
    2. 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.
    3. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
    4. Jeffrey R. Kling & Jens Ludwig & Lawrence F. Katz, 2005. "Neighborhood Effects on Crime for Female and Male Youth: Evidence from a Randomized Housing Voucher Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 87-130.
    5. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    6. R Kahn & Toni M Whited, 2018. "Identification Is Not Causality, and Vice Versa," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 7(1), pages 1-21.
    7. Yifei Wang & Toni M. Whited & Yufeng Wu & Kairong Xiao, 2022. "Bank Market Power and Monetary Policy Transmission: Evidence from a Structural Estimation," Journal of Finance, American Finance Association, vol. 77(4), pages 2093-2141, August.
    8. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
    9. Armstrong, Christopher & Kepler, John D. & Samuels, Delphine & Taylor, Daniel, 2022. "Causality redux: The evolution of empirical methods in accounting research and the growth of quasi-experiments," Journal of Accounting and Economics, Elsevier, vol. 74(2).
    10. 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.
    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. 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.
    3. Jeff Borland & Yi-Ping Tseng & Roger Wilkins, 2005. "Experimental and Quasi-Experimental Methods of Microeconomic Program and Policy Evaluation," Melbourne Institute Working Paper Series wp2005n08, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    4. 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.
    5. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    6. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    7. Markus Frölich, 2004. "Programme Evaluation with Multiple Treatments," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 181-224, April.
    8. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    9. 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.
    10. 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.
    11. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    12. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2012. "Evaluating the labor-market effects of compulsory military service," European Economic Review, Elsevier, vol. 56(4), pages 814-829.
    13. repec:zbw:rwidps:0023 is not listed on IDEAS
    14. Bruno Rodrigues & Vincent Vergnat, 2016. "The impact on wages and worked hours of childbirth in France," Working Papers of BETA 2016-48, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    15. 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).
    16. Sebastian Galiani & Martín A. Rossi & Ernesto Schargrodsky, 2011. "Conscription and Crime: Evidence from the Argentine Draft Lottery," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 119-136, April.
    17. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    18. Guanghui Pan, 2024. "Methodological Foundations of Modern Causal Inference in Social Science Research," Papers 2408.00032, arXiv.org.
    19. Johnston, David W. & Shields, Michael A. & Siminski, Peter, 2016. "Long-term health effects of Vietnam-era military service: A quasi-experiment using Australian conscription lotteries," Journal of Health Economics, Elsevier, vol. 45(C), pages 12-26.
    20. Jason M. Lindo & Charles Stoecker, 2014. "Drawn Into Violence: Evidence On “What Makes A Criminal” From The Vietnam Draft Lotteries," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 239-258, January.
    21. Eide, Eric R. & Showalter, Mark H., 2012. "Methods matter: Improving causal inference in educational and social science research: A review article," Economics of Education Review, Elsevier, vol. 31(5), pages 744-748.

    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:eee:jaecon:v:74:y:2022:i:2:s0165410122000647. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jae .

    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.