Nonparametric identification of random coefficients in aggregate demand models for differentiated products

Autor:	Fabian Dunker, Stefan Hoderlein, Hiroaki Kaido
Rok vydání:	2023
Předmět:	Economics and Econometrics
Zdroj:	The Econometrics Journal. 26:279-306
ISSN:	1368-423X 1368-4221
Popis:	Summary This paper studies nonparametric identification in market-level demand models for differentiated products with heterogeneous consumers. We consider a general class of models that allows for the individual-specific coefficients to vary continuously across the population and give conditions under which the density of these coefficients, and hence also functionals such as the fractions of individuals who benefit from a counterfactual intervention, is identified.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c0466dea79da6e519ff56d7d308a3c81 https://doi.org/10.1093/ectj/utad002 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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