Quasilinear‐mean regression

Adam Gorajek

Journal of Economic Surveys, 2022, vol. 36, issue 5, 1288-1310

Abstract: Economists usually inform policymakers with conclusions that come from studying statistical expectations, or arithmetic means, of potential outcomes. I introduce other types of means to study, from the broader “quasilinear” family, and show that often they will better respect the needs of policymakers. The same logic reveals that a common bias correction from Goldberger and Kennedy is counterproductive because it implies a contradiction in policymaker needs. In making these arguments, I collate and build on many earlier contributions, which before now have been disjointed and spread across outlets for different research fields.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/joes.12465

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:bla:jecsur:v:36:y:2022:i:5:p:1288-1310

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0950-0804

Access Statistics for this article

More articles in Journal of Economic Surveys from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().