These are some of the recent working papers by members of the Center for Econometrics.
2018
- The Wild Bootstrap with a “Small” Number of “Large” Clusters,
Ivan A. Canay, Andres Santos, and Azeem M. Shaikh - Tail and Center Rounding of Probabilistic Expectations in the Health and Retirement Study,
Pamela Giustinelli, Charles F. Manski, and Francesca Molinari - Minimax-Regret Sample Design in Anticipation of Missing Data, With Application to Panel Data,
Jeff Dominitz and Charles F. Manski - Testing Continuity of a Density via g-order statistics in the Regression Discontinuity Design,
Federico Bugni and Ivan A. Canay - Non-Asymptotic Inference in Instrumental Variables Estimation,
Joel Horowitz - Bootstrap Methods in Econometrics,
Joel Horowitz - Estimation of a Nonseparable Heterogeneous Demand Function with Shape Restrictions and Berkson Errors,
Richard Blundell, Joel Horowitz, and Matthias Parey
2017
- Inference under Covariate Adaptive Randomization with Multiple Treatments
Federico A. Bugni, Ivan A. Canay, and Azeem M. Shaikh - A Bootstrap Method for Constructing Pointwise and Uniform Confidence Bands for Conditional Quantile Functions,
Joel L. Horowitz, and Anand Kirshamurthy - Permutation Tests for Equality of Distributions of Functional Data,
Federico Bugni and Joel Horowitz - Non-asymptotic inference in instrumental variables estimation,
Joel Horowitz
2016
- Nonparametric estimation and inference under shape restrictions,
Joel L. Horowitz and Sokbae Lee
CeMMAP wo6rking paper CWP29/1 - Bias-corrected confidence intervals in a class of linear inverse problems,
Jean-Pierre Florens, Joel L. Horowitz, and Ingrid Van Keilegom
CeMMAP working paper CWP19/16 - Testing exogeneity in nonparametric instrumental variables identified by conditional quantile restrictions,
Jia-Young Fu, Joel L. Horowitz, and Matthias Parey
CeMMAP working paper CWP68/15 - Practical and Theoretical Advances in Inference for Partially Identified Models,
Ivan A. Canay and Azeem Shaikh
CeMMAP working paper CWP05/16
2015
- Clinical Trial Design enabling e-optimal treatment rules
Charles F. Manski and Aleksey Tetenov
CeMMAP working paper 60/15 - Variable Selection and Estimation in High Dimensional Models,
Joel L. Horowitz,
CeMMAP working paper 35/15 - Inference under Covariate Adaptive Randomization,
Federico Bugni, Ivan A. Canay, and Azeem Shaikh
CeMMAP working paper CWP45/15 - Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design,
Ivan A. Canay and Vishal Kamat
CeMMAP working paper CWP27/15 - Partial Identification by Extending Subdistributions,
Alex Torgovitsky
Working paper - Partial Identification of State Dependence,
Alex Torgovitsky
Working paper
2014
- The Quantile Performance of Statistical Treatment Rules Using Hypothesis Tests to Allocate a Population to Two Treatments,
Charles F. Manski and Aleksey Tetenov
Working Paper - Randomization Tests Under an Approximate Symmetry Assumption,
Joe P. Romano, Ivan A. Canay and Azeem M. Shaikh.
Working Paper - Communicating Uncertainty in Official Economic Statistics,
Charles F. Manski.
Working Paper. - Inference for functions of partially identified parameters in moment inequality models,
Federico Bugni, Ivan A. Canay and Xiaoxia Shi.
CeMMAP working paper CWP05/14, - Instrumental variables estimation of a generalized correlated random coefficients model,
Matthew Masten and Alex Torgovitsky.
CeMMAP working paper CWP02/14. - Ill-Posed inverse problems in Economics,
Joel L. Horowitz.
2013
- Default Bayesian Inference in a Class of Partially Identified Models,
Brendan Kline and Elie Tamer.
Working Paper. - Using Elicited Choice Probabilities in Hypothetical Elections to Study Decisions to Vote,
Adeline Delavande and Charles F. Manski.
Working Paper. - Useful Variation in Clinical Practice under Uncertainty: Diversification and Learning
Charles F. Manski.
Working Paper - Sensitivity Analysis In Semiparametric Likelihood Models
Xiaohong Chen, Elie Tamer, and Alex Torgovitsky.
Cowles Foundation Discussion Paper N. 1836 - Specification Tests in Partially Identified Models defined by Moment Inequalities,
Federico Bugni, Ivan A. Canay and Xiaoxia Shi.
CeMMAP working paper CWP01/13. - Identification and Shape Restrictions in Nonparametric Instrumental Variables Estimation
Joachim Freyberger and Joel L. Horowitz.
CeMMAP working paper CWP31/13. - Nonparametric estimation of a heterogeneous demand function under the Slutsky inequality restriction,
Richard Blundell, Joel L. Horowitz, and Matthias Parey.
CeMMAP working paper CWP54/13. - A Simple Bootstrap Method for Constructing Confidence Bands for Functions,
Peter Hall and Joel L. Horowitz.
Working paper. - Identification of Nonseparable Models with General Instruments
Alex Torgovitsky.
Working Paper.