activity
20162023
most citedEstimating multivariate latent-structure models

41 citations · 43 across the 6 of their papers we have counts for

collaborators

7 papers

econ.EM2023

Functional Differencing in Networks

Stéphane Bonhomme, Kevin Dano

Economic interactions often occur in networks where heterogeneous agents (such as workers or firms) sort and produce. However, most existing estimation approaches either require th…

econ.EM2023

Identification in a Binary Choice Panel Data Model with a Predetermined Covariate

Stéphane Bonhomme, Kevin Dano, Bryan S. Graham

We study identification in a binary choice panel data model with a single \emph{predetermined} binary covariate (i.e., a covariate sequentially exogenous conditional on lagged outc…

econ.EM2021

Teams: Heterogeneity, Sorting, and Complementarity

Stephane Bonhomme

How much do individuals contribute to team output? I propose an econometric framework to quantify individual contributions when only the output of their teams is observed. The iden…

econ.EM2019

Recovering Latent Variables by Matching

Manuel Arellano, Stephane Bonhomme

We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The method consists in generating pseudo-observ…

econ.EM2019

Posterior Average Effects

Stéphane Bonhomme, Martin Weidner

Economists are often interested in estimating averages with respect to distributions of unobservables, such as moments of individual fixed-effects, or average partial effects in di…

econ.EM2018★ 2 cited

Minimizing Sensitivity to Model Misspecification

Stéphane Bonhomme, Martin Weidner

We propose a framework for estimation and inference when the model may be misspecified. We rely on a local asymptotic approach where the degree of misspecification is indexed by th…

math.ST2016★ 41 cited

Estimating multivariate latent-structure models

Stéphane Bonhomme, Koen Jochmans, Jean-Marc Robin

A constructive proof of identification of multilinear decompositions of multiway arrays is presented. It can be applied to show identification in a variety of multivariate latent s…