Seminar Series: Michal Kolesar (Princeton University)
The Fragility of Sparsity
The Fragility of Sparsity
A Neyman Orthogonalization Approach to the Incidental Parameter Problem
Linear regression with weak exogeneity
Pre-analysis plans and statistical decisions subject to implementability
Identification and Estimation of Average Marginal Effects in Fixed Effects Logit Models
GMM is Inadmissible Under Weak Identification
Bootstrap Inference in the Presence of Bias
Partially Linear Models under Data Combination