IDEAS home Printed from https://ideas.repec.org/p/cda/wpaper/42.html
   My bibliography  Save this paper

Misinterpreting a Failure to Disconfirm as a Confirmation: A Recurrent Misreading of Significance Tests

Author

Listed:
  • Thomas Mayer

    (Department of Economics, University of California Davis)

Abstract

When a significance test fails to disconfirm a hypothesis economist often interpret this as evidence that this hypothesis is valid. Six such examples are cited from recent journals. But this is a misinterpretation of what significance tests show. Presumably this misinterpretation is founded on the valid principle that every failure to disconfirm a hypothesis adds to its credibility. But that principle defines â??failure to disconfirmâ?? in a way that differs sharply from the way that this phrase is used in the context of significance tests. Some ways of ameliorating this problem exist.

Suggested Citation

  • Thomas Mayer, 2003. "Misinterpreting a Failure to Disconfirm as a Confirmation: A Recurrent Misreading of Significance Tests," Working Papers 42, University of California, Davis, Department of Economics.
    • Handle: RePEc:cda:wpaper:42
    as

    Download full text from publisher

    File URL: https://repec.dss.ucdavis.edu/files/SJP1asFii2RCimGMVtdBWPWR/01-8.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David H. Papell & Christian J. Murray & Hala Ghiblawi, 2000. "The Structure of Unemployment," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 309-315, May.
    2. Krolzig, Hans-Martin & Hendry, David F., 2001. "Computer automation of general-to-specific model selection procedures," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 831-866, June.
    3. Shang-Jin Wei, 2000. "How Taxing is Corruption on International Investors?," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 1-11, February.
    4. Deirdre N. McCloskey & Stephen T. Ziliak, 1996. "The Standard Error of Regressions," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 97-114, March.
    5. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    6. Kevin Hoover & Stephen Perez, 2001. "Three attitudes towards data mining," Journal of Economic Methodology, Taylor & Francis Journals, vol. 7(2), pages 195-210.
    7. James T. Hamilton & W. Kip Viscusi, 1999. "Are Risk Regulators Rational? Evidence from Hazardous Waste Cleanup Decisions," American Economic Review, American Economic Association, vol. 89(4), pages 1010-1027, September.
    8. Susanna Loeb & Marianne E. Page, 2000. "Examining The Link Between Teacher Wages And Student Outcomes: The Importance Of Alternative Labor Market Opportunities And Non-Pecuniary Variation," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 393-408, August.
    9. Hands,D. Wade, 2001. "Reflection without Rules," Cambridge Books, Cambridge University Press, number 9780521797962.
    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. Thomas Mayer, "undated". "Misinterpreting a Failure to Disconfirm as a Confirmation: A Recurrent Misreading of Significance Tests," Department of Economics 01-08, California Davis - Department of Economics.
    2. Kevin Hoover & Mark Siegler, 2008. "Sound and fury: McCloskey and significance testing in economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 15(1), pages 1-37.
    3. Thomas Mayer, 2006. "The Empirical Significance of Econometric Models," Working Papers 620, University of California, Davis, Department of Economics.
    4. Thomas Mayer, "undated". "A Frequent Misuse of Significance Tests," Department of Economics 01-05, California Davis - Department of Economics.
    5. Thomas Mayer, "undated". "A Frequent Misuse of Significance Tests," Department of Economics 01-05, California Davis - Department of Economics.
    6. Steven Cook, 2001. "Observations on the practice of data-mining: comments on the JEM symposium," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(3), pages 415-419.
    7. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    8. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    9. Harris Dellas & Kevin Hoover, 2003. "Truth and Robustness in Cross-country Growth Regressions," Working Papers 11, University of California, Davis, Department of Economics.
    10. Kapetanios, George & Marcellino, Massimiliano & Papailias, Fotis, 2016. "Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 369-382.
    11. Banerjee, Anindya & Marcellino, Massimiliano, 2006. "Are there any reliable leading indicators for US inflation and GDP growth?," International Journal of Forecasting, Elsevier, vol. 22(1), pages 137-151.
    12. Cáceres, Neila & Malone, Samuel W., 2015. "Optimal Weather Conditions, Economic Growth, and Political Transitions," World Development, Elsevier, vol. 66(C), pages 16-30.
    13. Becker William & Paruolo Paolo & Saltelli Andrea, 2021. "Variable Selection in Regression Models Using Global Sensitivity Analysis," Journal of Time Series Econometrics, De Gruyter, vol. 13(2), pages 187-233, July.
    14. Søren Johansen & David F. Hendry & Carlos Santos, 2007. "Selecting a Regression Saturated by Indicators," CREATES Research Papers 2007-36, Department of Economics and Business Economics, Aarhus University.
    15. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    16. repec:ebl:ecbull:v:3:y:2008:i:32:p:1-8 is not listed on IDEAS
    17. Hendry, David F. & Mizon, Grayham E., 2001. "Reformulating empirical macro-econometric modelling," Discussion Paper Series In Economics And Econometrics 104, Economics Division, School of Social Sciences, University of Southampton.
    18. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    19. Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
    20. Pellegrini Lorenzo & Luca Tasciotti, 2019. "Corruption: Public and Private," Working Papers 220, Department of Economics, SOAS University of London, UK.

    More about this item

    Keywords

    significance tests; t values; t coefficients; confirmation;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology

    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:cda:wpaper:42. 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: Letters and Science IT Services Unit (email available below). General contact details of provider: https://edirc.repec.org/data/educdus.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.