1 citations · 1 across the 5 of their papers we have counts for
5 papers
Penalized GMM Framework for Inference on Functionals of Nonparametric Instrumental Variable Estimators
Edvard Bakhitov
This paper develops a penalized GMM (PGMM) framework for automatic debiased inference on functionals of nonparametric instrumental variable estimators. We derive convergence rates…
Experimentation on Endogenous Graphs
Wenshuo Wang, Edvard Bakhitov, Dominic Coey
We study experimentation under endogenous network interference. Interference patterns are mediated by an endogenous graph, where edges can be formed or eliminated as a result of tr…
Scalable Analysis of Bipartite Experiments
Liang Shi, Edvard Bakhitov, Kenneth Hung +4
Bipartite Experiments are randomized experiments where the treatment is applied to a set of units (randomization units) that is different from the units of analysis, and randomizat…
Causal Gradient Boosting: Boosted Instrumental Variable Regression
Edvard Bakhitov, Amandeep Singh
Recent advances in the literature have demonstrated that standard supervised learning algorithms are ill-suited for problems with endogenous explanatory variables. To correct for t…
Frequentist Shrinkage under Inequality Constraints
Edvard Bakhitov
This paper shows how to shrink extremum estimators towards inequality constraints motivated by economic theory. We propose an Inequality Constrained Shrinkage Estimator (ICSE) whic…