Computing semiparametric efficiency bounds in linear models with nonparametric regressors
Andres Aradillas-Lopez
Economics Letters, 2019, vol. 185, issue C
Abstract:
We use the computational method proposed by Severini and Tripathi (2001) to obtain semiparametric efficiency bounds in linear models with nonparametric regressors in the form of conditional expectations. Examples include social-interaction models. Explicit efficiency bounds for these models, with the degree of generality assumed here, had not been described before.
JEL-codes: C14 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176519303362
Full text for ScienceDirect subscribers only
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:eee:ecolet:v:185:y:2019:i:c:s0165176519303362
DOI: 10.1016/j.econlet.2019.108673
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().