IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v7y2019i4p44-d290361.html
   My bibliography  Save this article

The Replication Crisis as Market Failure

Author

Listed:
  • John Quiggin

    (School of Economics, The University of Queensland, St Lucia QLD 4072, Australia)

Abstract

This paper begins with the observation that the constrained maximisation central to model estimation and hypothesis testing may be interpreted as a kind of profit maximisation. The output of estimation is a model that maximises some measure of model fit, subject to costs that may be interpreted as the shadow price of constraints imposed on the model. The replication crisis may be regarded as a market failure in which the price of “significant” results is lower than would be socially optimal.

Suggested Citation

  • John Quiggin, 2019. "The Replication Crisis as Market Failure," Econometrics, MDPI, vol. 7(4), pages 1-8, November.
    • Handle: RePEc:gam:jecnmx:v:7:y:2019:i:4:p:44-:d:290361
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/7/4/44/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2225-1146/7/4/44/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
    2. McCloskey, Donald N, 1985. "The Loss Function Has Been Mislaid: The Rhetoric of Significance Tests," American Economic Review, American Economic Association, vol. 75(2), pages 201-205, May.
    3. Michael Kosfeld & Markus Heinrichs & Paul J. Zak & Urs Fischbacher & Ernst Fehr, 2005. "Oxytocin increases trust in humans," Nature, Nature, vol. 435(7042), pages 673-676, June.
    4. Engle, Robert F., 1984. "Wald, likelihood ratio, and Lagrange multiplier tests in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 13, pages 775-826, Elsevier.
    5. Kim, Jae H. & Ji, Philip Inyeob, 2015. "Significance testing in empirical finance: A critical review and assessment," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 1-14.
    6. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    7. Anthony Lane & Moïra Mikolajczak & Evelyne Treinen & Dana Samson & Olivier Corneille & Philippe de Timary & Olivier Luminet, 2015. "Failed Replication of Oxytocin Effects on Trust: The Envelope Task Case," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Johnstone, David, 2022. "Accounting research and the significance test crisis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 89(C).

    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. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    2. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    3. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    4. Yash P. Mehra, 1995. "Some key empirical determinants of short-term nominal interest rates," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 33-51.
    5. Michaelides, Michael, 2021. "Large sample size bias in empirical finance," Finance Research Letters, Elsevier, vol. 41(C).
    6. Gigi Foster, 2018. "Ethics in Economics," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 24(1), pages 61-75.
    7. Black, Bernard & Hollingsworth, Alex & Nunes, Letícia & Simon, Kosali, 2022. "Simulated power analyses for observational studies: An application to the Affordable Care Act Medicaid expansion," Journal of Public Economics, Elsevier, vol. 213(C).
    8. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
    9. Jinyong Hahn & Ruoyao Shi, 2021. "Breusch and Pagan’s (1980) Test Revisited," Working Papers 202110, University of California at Riverside, Department of Economics.
    10. Jae H. Kim & Kamran Ahmed & Philip Inyeob Ji, 2018. "Significance Testing in Accounting Research: A Critical Evaluation Based on Evidence," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 524-546, December.
    11. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    12. Coren L Apicella & David Cesarini & Magnus Johannesson & Christopher T Dawes & Paul Lichtenstein & Björn Wallace & Jonathan Beauchamp & Lars Westberg, 2010. "No Association between Oxytocin Receptor (OXTR) Gene Polymorphisms and Experimentally Elicited Social Preferences," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-8, June.
    13. Stephan B. Bruns & David I. Stern, 2019. "Lag length selection and p-hacking in Granger causality testing: prevalence and performance of meta-regression models," Empirical Economics, Springer, vol. 56(3), pages 797-830, March.
    14. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
    15. Basu, Ayanendranath & Chakraborty, Soumya & Ghosh, Abhik & Pardo, Leandro, 2022. "Robust density power divergence based tests in multivariate analysis: A comparative overview of different approaches," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    16. Anthony Lane & Moïra Mikolajczak & Evelyne Treinen & Dana Samson & Olivier Corneille & Philippe de Timary & Olivier Luminet, 2015. "Failed Replication of Oxytocin Effects on Trust: The Envelope Task Case," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    17. Andrews, Donald W K, 1989. "Power in Econometric Applications," Econometrica, Econometric Society, vol. 57(5), pages 1059-1090, September.
    18. Gabriele Fiorentini & Enrique Sentana, 2012. "Tests for Serial Dependence in Static, Non-Gaussian Factor Models," Working Papers wp2012_1211, CEMFI.
    19. Antonio Páez & Takashi Uchida & Kazuaki Miyamoto, 2002. "A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 1. Location-Specific Kernel Bandwidths and a Test for Locational Heterogeneity," Environment and Planning A, , vol. 34(4), pages 733-754, April.
    20. Bernstein, Jeffrey I. & Mamuneas, Theofanis P., 2006. "R&D depreciation, stocks, user costs and productivity growth for US R&D intensive industries," Structural Change and Economic Dynamics, Elsevier, vol. 17(1), pages 70-98, January.

    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:gam:jecnmx:v:7:y:2019:i:4:p:44-:d:290361. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.