3 papers
econ.EM2026
Approximate Operator Inversion for Average Effects in Nonlinear Panel Models
Jad Beyhum, Geert Dhaene, Cavit Pakel +1
We study the estimation of average effects in nonlinear panel data models with fixed effects when the time dimension is only moderately large. Our approach, called approximate…
econ.EM2026
Bounds on Average Effects in Discrete Choice Panel Data Models
Cavit Pakel, Martin Weidner
In discrete choice panel data, estimation of average effects is crucial for quantifying the effect of covariates, and for policy evaluation and counterfactual analysis. However, in…
econ.EM2025
Triadic Network Formation
Chris Muris, Cavit Pakel
We study estimation and inference for triadic link formation with dyad-level fixed effects in a nonlinear binary choice logit framework. Dyad-level effects provide a richer and mor…