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, Toulouse
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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) |
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Language: | English |
Date: | April 2016 |
Place of Publication: | Toulouse |
Uncontrolled Keywords: | Policy trade offs, near identification, preference proxies |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Institution: | Université Toulouse 1 Capitole |
Site: | UT1 |
Date Deposited: | 21 Apr 2016 07:27 |
Last Modified: | 29 Jan 2024 11:01 |
OAI Identifier: | oai:tse-fr.eu:30422 |
URI: | https://publications.ut-capitole.fr/id/eprint/21519 |
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- Near identification of policy trade-offs using preference proxies to elicit hidden information in the linear case. (deposited 21 Apr 2016 07:27) [Currently Displayed]