5 papers
Higher-Order Neyman Orthogonality in Moment-Condition Models
Stéphane Bonhomme, Koen Jochmans, Whitney K. Newey +1
We construct moment functions that are Neyman-orthogonal to a chosen order in parametric moment condition models. These moment functions reduce sensitivity to nuisance estimation e…
A Users' Guide to Uncovering Worker and Firm Effects: The ABC of AKM
Stephane Bonhomme, Elena Manresa, Thibaut Lamadon
The AKM model introduced by Abowd, Kramarz and Margolis (1999) has become a workhorse to study worker and firm heterogeneity, and to understand the sources of wage dispersion in th…
A Neyman-Orthogonalization Approach to the Incidental Parameter Problem in Likelihood Models
Stéphane Bonhomme, Stéphane Bonhomme, Koen Jochmans +1
A popular approach to perform inference on a target parameter in the presence of nuisance parameters is to construct estimating equations that are orthogonal to the nuisance parame…
Back to Feedback: Dynamics and Heterogeneity in Panel Data
Stephane Bonhomme
Many popular estimation methods in panel data rely on the assumption that the covariates of interest are strictly exogenous. However, this assumption is empirically restrictive in…
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…