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Inference for Fixed Effects Estimators when Panels are Unbalanced
Daniel Czarnowske, Amrei Stammann
We develop the asymptotic theory for two-way fixed effects M-estimators in unbalanced panels, within a framework where both panel dimensions grow large at proportional rates. The s…
(Debiased) Inference for Fixed Effects Estimators with Three-Dimensional Panel and Network Data
Daniel Czarnowske, Amrei Stammann
Inference for fixed effects estimators is often unreliable due to Nickell- and incidental parameter biases. While these issues are well understood for classical two-dimensional pan…
Latent Unbalancedness in Three-Way Gravity Models
Daniel Czarnowske, Amrei Stammann
Many panel data sets used for pseudo-poisson estimation of three-way gravity models are implicitly unbalanced because uninformative observations are redundant for the estimation. W…
A Classifier-Lasso Approach for Estimating Production Functions with Latent Group Structures
Daniel Czarnowske
I present a new estimation procedure for production functions with latent group structures. I consider production functions that are heterogeneous across groups but time-homogeneou…
Fixed Effects Binary Choice Models: Estimation and Inference with Long Panels
Daniel Czarnowske, Amrei Stammann
Empirical economists are often deterred from the application of fixed effects binary choice models mainly for two reasons: the incidental parameter problem and the computational ch…