activity
20202026
most citedEstimating interaction effects with panel data

3 citations · 5 across the 5 of their papers we have counts for

collaborators

8 papers

econ.EM2026

An Adversarial Approach to Identification, Computation, and Inference in Models with a Linear-in-Measures Representation

Irene Botosaru, Isaac Loh, Chris Muris

We develop a framework for identification, computation, and inference in econometric models with a linear-in-measures representation. These models express maintained restrictions a…

econ.EM2024

An Adversarial Approach to Identification

Irene Botosaru, Isaac Loh, Chris Muris

We introduce a new framework for characterizing identified sets of structural and counterfactual parameters in econometric models. By reformulating the identification problem as a…

econ.EM2022★ 1 cited

Identification of time-varying counterfactual parameters in nonlinear panel models

Irene Botosaru, Chris Muris

We develop a general framework for the identification of counterfactual parameters in a class of nonlinear semiparametric panel models with fixed effects and time effects. Our meth…

econ.EM2022★ 3 cited

Estimating interaction effects with panel data

Chris Muris, Konstantin Wacker

This paper analyzes how interaction effects can be consistently estimated under economically plausible assumptions in linear panel models with a fixed -dimension. We advocate fo…

econ.EM2022★ 1 cited

Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data

Matthew Harding, Carlos Lamarche, Chris Muris

In many longitudinal settings, economic theory does not guide practitioners on the type of restrictions that must be imposed to solve the rotational indeterminacy of factor-augment…

econ.EM2021

Dynamic Ordered Panel Logit Models

Bo E. Honoré, Chris Muris, Martin Weidner

This paper studies a dynamic ordered logit model for panel data with fixed effects. The main contribution of the paper is to construct a set of valid moment conditions that are fre…

econ.EM2020

A dynamic ordered logit model with fixed effects

Chris Muris, Pedro Raposo, Sotiris Vandoros

We study a fixed- panel data logit model for ordered outcomes that accommodates fixed effects and state dependence. We provide identification results for the autoregressive para…

econ.EM2020

Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares

Irene Botosaru, Chris Muris, Krishna Pendakur

We provide new results showing identification of a large class of fixed-T panel models, where the response variable is an unknown, weakly monotone, time-varying transformation of a…