KEYNES’S TREATISE, STATISTICAL INFERENCE, AND STATISTICAL PRACTICE IN INTERWAR ECONOMICS IN THE UNITED STATES
Jeff Biddle
Journal of the History of Economic Thought, 2021, vol. 43, issue 4, 590-603
Abstract:
In his Treatise on Probability John Maynard Keynes criticized the tools of statistical inference derived from probability that were coming into use in the early twentieth century, and outlined an alternative approach to statistical inference based on the logic of induction. This essay argues that Keynes’s ideas were embraced and echoed by several leading US economists during the 1920s and 1930s, including those developing and applying the most sophisticated statistical methods of the day. These economists expressed views regarding statistical inference that were quite similar to those found in Keynes’s Treatise, often citing Keynes as an authority in support. Also, the inferential methods recommended and actually employed by these writers were consistent with Keynes’s ideas about the proper methods of statistical inference.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
Working Paper: Keynes’s Treatise, Statistical Inference, and Statistical Practice in Interwar Economics in the United States (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cup:jhisec:v:43:y:2021:i:4:p:590-603_7
Access Statistics for this article
More articles in Journal of the History of Economic Thought from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().