Acceptance of unsupported claims about reality: a blind spot in economics
Ole Rogeberg and
Hans Melberg ()
Journal of Economic Methodology, 2011, vol. 18, issue 1, 29-52
Abstract:
Do economists accept absurd and unsupported claims about reality, and if so, why? We define four types of claims commonly made in economics that require different types of evidence, and show examples of each from the rational addiction literature. Claims about real world causal mechanisms and welfare effects seem poorly supported. A survey mailed to all researchers with peer-reviewed work on rational addiction theory provides some evidence that criteria for evaluating claims of pure theory and statistical prediction are better understood than those needed for claims of causality or welfare analysis. We suggest that unsupported claims about real world causality or welfare may be accepted in parts of economics provided they derive from a formally correct model consistent with certain types of (often aggregate) data. The rational addiction literature illustrates that this can lead to absurd and unjustified claims being made and accepted in even highly-ranked journals.
Keywords: welfare economics; causality; rational addiction; methodology (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/1350178X.2011.556817 (text/html)
Access to full text is restricted to subscribers.
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:taf:jecmet:v:18:y:2011:i:1:p:29-52
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJEC20
DOI: 10.1080/1350178X.2011.556817
Access Statistics for this article
Journal of Economic Methodology is currently edited by John Davis and D Wade Hands
More articles in Journal of Economic Methodology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().