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20232026
most citedTransition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models

6 citations · 6 across the 4 of their papers we have counts for

collaborators

7 papers

econ.EM2026

Dynamic Panel Multinomial Logit Models

Kevin Dano, Bo E. Honoré, Martin Weidner

This paper provides moment conditions for dynamic multinomial logit panel data models with individual specific fixed effects. The moment conditions do not depend on the fixed effec…

econ.EM2026

Homophily and transitivity in dynamic network formation

Kevin Dano, Bryan S. Graham, Yassine Sbai Sassi

In social and economic networks linked agents often share connections in common. There are two competing explanations for this phenomenon. First, agents may have a structural taste…

econ.EM2025

Binary choice logit models with general fixed effects for panel and network data

Kevin Dano, Bo E. Honoré, Martin Weidner

This paper systematically analyzes and reviews identification strategies for binary choice logit models with fixed effects in panel and network data settings. We examine both stati…

econ.EM2025

Moment Restrictions for Nonlinear Panel Data Models with Feedback

Stéphane Bonhomme, Kevin Dano, Bryan S. Graham

Many panel data methods, while allowing for general dependence between covariates and time-invariant agent-specific heterogeneity, place strong a priori restrictions on feedback: h…

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★ 6 cited

Transition Probabilities and Moment Restrictions in Dynamic Fixed Effects Logit Models

Kevin Dano

Dynamic logit models are popular tools in economics to measure state dependence. This paper introduces a new method to derive moment restrictions in a large class of such models wi…

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…