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20132016
most citedOptimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators Under Weak Dependence and Weak Conditions

143 citations

5 papers

stat.ME2016★ 81 cited

Monte Carlo Confidence Sets for Identified Sets

Xiaohong Chen, Timothy Christensen, Elie Tamer

In complicated/nonlinear parametric models, it is generally hard to know whether the model parameters are point identified. We provide computationally attractive procedures to cons…

cs.GT2015

Money as Minimal Complexity

Pradeep Dubey, Siddhartha Sahi, Martin Shubik

We consider mechanisms that provide traders the opportunity to exchange commodity for commodity , for certain ordered pairs . Given any connected graph of opportunit…

stat.ME2015★ 77 cited

Optimal Sup-norm Rates and Uniform Inference on Nonlinear Functionals of Nonparametric IV Regression

Xiaohong Chen, Timothy M. Christensen

This paper makes several important contributions to the literature about nonparametric instrumental variables (NPIV) estimation and inference on a structural function and its…

math.ST2014★ 143 cited

Optimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators Under Weak Dependence and Weak Conditions

Xiaohong Chen, Timothy Christensen

We show that spline and wavelet series regression estimators for weakly dependent regressors attain the optimal uniform (i.e. sup-norm) convergence rate of…

math.ST2013★ 1 cited

Optimal Uniform Convergence Rates for Sieve Nonparametric Instrumental Variables Regression

Xiaohong Chen, Timothy Christensen

We study the problem of nonparametric regression when the regressor is endogenous, which is an important nonparametric instrumental variables (NPIV) regression in econometrics and…