relation: https://publications.ut-capitole.fr/id/eprint/49703/
title: Nonparametric Identification of Models for Dyadic Data
creator: Diegert, Paul
creator: Jochmans, Koen
subject: B- ECONOMIE ET FINANCE
description: Consider dyadic random variables on units from a given population. It is common to assume that these variables are jointly exchangeable and dissociated. In this case they admit a non-separable specification with two-way unobserved heterogeneity. The analysis of this type of structure is of considerable interest but little is known about their nonparametric identifiability, especially when the unobserved heterogeneity is continuous. We provide conditions under which both the distribution of the observed random variables conditional on the unit-specific heterogeneity and the distribution of the unit-specific heterogeneity itself are uniquely recoverable from knowledge of the joint marginal distribution of the observable random variables alone without imposing parametric restrictions.
publisher: TSE Working Paper
date: 2024-07
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: https://publications.ut-capitole.fr/id/eprint/49703/1/wp_tse_1574.pdf
identifier:   Diegert, Paul <https://www.idref.fr/280416512> and Jochmans, Koen <https://www.idref.fr/175871108>  (2024) Nonparametric Identification of Models for Dyadic Data.  TSE Working Paper, n. 24-1574, Toulouse     
relation: http://tse-fr.eu/pub/129722
language: en