activity
20052026
most citedLinear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects

304 citations · 914 across the 26 of their papers we have counts for

collaborators

31 papers

econ.EM2026

Orthogonal Moments in Likelihood Models

Stéphane Bonhomme, Koen Jochmans, Martin Weidner

Many models, such as fixed-effect models for panel or network data, are hard to estimate because they feature nuisance parameters that are both numerous and estimated imprecisely.…

econ.EM2026★ 20 cited

Analysis of interactive fixed effects dynamic linear panel regression with measurement error

Nayoung Lee, Hyungsik Roger Moon, Martin Weidner

This paper studies a simple dynamic linear panel regression model with interactive fixed effects in which the variable of interest is measured with error. To estimate the dynamic c…

econ.EM2026★ 304 cited

Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects

Hyungsik Roger Moon, Martin Weidner

In this paper we study the least squares (LS) estimator in a linear panel regression model with unknown number of factors appearing as interactive fixed effects. Assuming that the…

econ.EM2026★ 193 cited

Dynamic Linear Panel Regression Models with Interactive Fixed Effects

Hyungsik Roger Moon, Martin Weidner

We analyze linear panel regression models with interactive fixed effects and predetermined regressors, for example lagged-dependent variables. The first-order asymptotic theory of…

econ.EM2026★ 24 cited

Estimation of random coefficients logit demand models with interactive fixed effects

Hyungsik Roger Moon, Matthew Shum, Martin Weidner

We extend the Berry, Levinsohn and Pakes (BLP, 1995) random coefficients discrete-choice demand model, which underlies much recent empirical work in IO. We add interactive fixed ef…

econ.EM2023

Forecasted Treatment Effects

Irene Botosaru, Raffaella Giacomini, Martin Weidner

We consider estimation and inference of the effects of a policy in the absence of an untreated or control group. We obtain unbiased estimators of individual (heterogeneous) treatme…