EconPapers    
Economics at your fingertips  
 

The Standard Error of Regressions

Deirdre McCloskey and Stephen Ziliak

Journal of Economic Literature, 1996, vol. 34, issue 1, 97-114

Abstract: Statistical significance as used in economics has weak theoretical justification. In particular it merges statistical and substantive significance. The 182 papers using regression analysis in the American Economic Review in the 1980s were tested against 19 criteria for the accepted use of statistical significance. Most, some three-quarters of the papers, did poorly. Likewise, textbooks in econometrics do not distinguish statistical and economic significance. Statistical significance should not be the focus of empirical economics.

Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (324)

Downloads: (external link)
http://www.e-jel.org/archive/mar1996/Mccloske.pdf (application/pdf)
Access to full text is restricted to AEA members.

Related works:
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:aea:jeclit:v:34:y:1996:i:1:p:97-114

Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions

Access Statistics for this article

Journal of Economic Literature is currently edited by Steven Durlauf

More articles in Journal of Economic Literature from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().

 
Page updated 2025-03-22
Handle: RePEc:aea:jeclit:v:34:y:1996:i:1:p:97-114