IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/2591_25.html
   My bibliography  Save this book chapter

Deirdre N. McCloskey

In: The Elgar Companion to the Chicago School of Economics

Author

Listed:
  • Stephen T. Ziliak

Abstract

Many know the Chicago School of Economics and its association with Milton Friedman, George Stigler, Ronald Coase and Gary Becker. But few know the School's history and the full scope of its scholarship. In this Companion, leading scholars examine its history and key figures, as well as provide surveys of the School's contributions to central aspects of economics, including: price theory, monetary theory, labor and economic history. The volume examines the School's traditions of applied welfare theory and law and economics while providing a glimpse into emerging research on Chicago's role in the development of neoliberalism.

Suggested Citation

  • Stephen T. Ziliak, 2010. "Deirdre N. McCloskey," Chapters, in: Ross B. Emmett (ed.), The Elgar Companion to the Chicago School of Economics, chapter 10, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:2591_25
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/9781840648744.00033.xml
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McCloskey, Deirdre Nansen, 2006. "The Bourgeois Virtues," University of Chicago Press Economics Books, University of Chicago Press, number 9780226556635, January.
    2. DONALD N. McCLOSKEY, 1970. "Did Victorian Britain Fail?," Economic History Review, Economic History Society, vol. 23(3), pages 446-459, December.
    3. Ziliak, Stephen T. & McCloskey, Deirdre N., 2004. "Size matters: the standard error of regressions in the American Economic Review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 527-546, November.
    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.
    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. Rachel G. Childers, 2011. "Being One'S Own Boss: How Does Risk Fit In?," The American Economist, Sage Publications, vol. 56(1), pages 48-58, May.
    2. Anupama Sen and Tooraj Jamasb, 2012. "Diversity in Unity: An Empirical Analysis of Electricity Deregulation in Indian States," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    3. Aki Tomizawa & Li Zhao & Geneviève Bassellier & David Ahlstrom, 2020. "Economic growth, innovation, institutions, and the Great Enrichment," Asia Pacific Journal of Management, Springer, vol. 37(1), pages 7-31, March.
    4. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    5. Stephen T. Ziliak & Deirdre N. McCloskey, 2013. "We Agree That Statistical Significance Proves Essentially Nothing: A Rejoinder to Thomas Mayer," Econ Journal Watch, Econ Journal Watch, vol. 10(1), pages 97-107, January.
    6. Petersen, Verner C., 2005. "The otherworldly view of economics - and its consequences," Working Papers 2005-13, University of Aarhus, Aarhus School of Business, Department of Management.
    7. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
    8. Peter Carey & Brad Potter & George Tanewski, 2014. "Application of the Reporting Entity Concept in Australia," Abacus, Accounting Foundation, University of Sydney, vol. 50(4), pages 460-489, December.
    9. Andreas Bergh & Magnus Henrekson, 2011. "Government Size And Growth: A Survey And Interpretation Of The Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 872-897, December.
    10. H. E. T. Holgersson & T. Norman & S. Tavassoli, 2014. "In the quest for economic significance: assessing variable importance through mean value decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 21(8), pages 545-549, May.
    11. Timothy R. Wojan & Jason P. Brown & Dayton M. Lambert, 2014. "What to Do about the "Cult of Statistical Significance"? A Renewable Fuel Application using the Neyman-Pearson Protocol," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(4), pages 674-695.
    12. David Ahlstrom & Amber Y. Chang & Jessie S. T. Cheung, 2019. "Encouraging Entrepreneurship and Economic Growth," JRFM, MDPI, vol. 12(4), pages 1-14, November.
    13. O'Brien, Anthony Patrick, 2004. "Why is the standard error of regression so low using historical data?: Comments on "size matters"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 565-570, November.
    14. Altman, Morris, 2004. "Statistical significance, path dependency, and the culture of journal publication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 651-663, November.
    15. Nektarios A. Michail & Constantinos I. Massouras, 2014. "Back to Basics: Is Statistical Significance all that Matters?," Working Papers 2014-3, Central Bank of Cyprus.
    16. Hatzinikolaou, Dimitris, 2012. "Failure in the market for reviewing economics papers: Good readers, bad referees, and ugly papers," MPRA Paper 45384, University Library of Munich, Germany, revised 26 Sep 2012.
    17. Johannes Dahlin & Verena Halbherr & Peter Kurz & Michael Nelles & Carsten Herbes, 2016. "Marketing Green Fertilizers: Insights into Consumer Preferences," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    18. Altman, Morris, 2020. "A more scientific approach to applied economics: Reconstructing statistical, analytical significance, and correlation analysis," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 315-324.
    19. Tamás Dusek, 2008. "Methodological Monism in Economics," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 1(2), pages 26-50, March.
    20. 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.

    More about this item

    Keywords

    Economics and Finance;

    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:elg:eechap:2591_25. 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.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.