Near identification of policy trade-offs using preference proxies to elicit hidden information in the linear case

Azam, Jean-Paul (2016) Near identification of policy trade-offs using preference proxies to elicit hidden information in the linear case. TSE Working Paper, n. 16-642

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Official URL: http://tse-fr.eu/pub/30422

Abstract

This paper shows that neither OLS nor 2SLS can generically identify policy trade offs in the linear case, except under extreme assumptions. Practitioners have to be content with near identification and the paper discusses how to choose between these two methods. It shows that a two-stage approach using preference proxies to elicit hidden information can potentially narrow the identification gap and that a simple specification test can be used to assess whether these proxies really contribute to improving identification.

Item Type: Monograph (Working Paper)
Language: English
Date: April 2016
Uncontrolled Keywords: Policy trade offs, near identification, preference proxies
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse Capitole
Site: UT1
Date Deposited: 21 Apr 2016 07:27
Last Modified: 07 Mar 2018 13:23
OAI ID: oai:tse-fr.eu:30422
URI: http://publications.ut-capitole.fr/id/eprint/21519

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