Identification with Models and Exogenous Data Variation
Robert Kahn and
Toni Whited
Foundations and Trends(R) in Accounting, 2016, vol. 10, issue 2-4, 361-375
Abstract:
We distinguish between identification and establishing causality. Identification means forming a unique mapping from features of data to quantities that are of interest to economists. Establishing causality is synonymous with finding sources of exogenous variation. These two issues are often confused. However, exogenous variation is only sometimes necessary and never sufficient to identify economically interesting parameters. Instead, even for causal questions identification must rest on an underlying economic model. We illustrate these points by examining identification in two recent papers: one causal study relying on an entirely verbal model and one non-causal study relying on a formal mathematical model.
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://dx.doi.org/10.1561/1400000051 (application/xml)
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:now:fntacc:1400000051
Access Statistics for this article
More articles in Foundations and Trends(R) in Accounting from now publishers
Bibliographic data for series maintained by Lucy Wiseman ().