Publications

The cemmap working paper series publishes papers expanding the frontiers of knowledge in microdata methods and practice. Martin Weidner is the editor of the working paper series.

Robust Bayesian inference for set-identified models

This paper reconciles the asymptotic disagreement between Bayesian and frequentist inference in set-identified models by adopting… Continue reading.

Raffaella Giacomini, Toru Kitagawa
November 2018

CWP61/18

Latest version

Robust Bayesian inference for set-identified models
Raffaella Giacomini, Toru Kitagawa
April 2020 | CWP12/20

Previous version

Inference about Non-Identified SVARs
Raffaella Giacomini, Toru Kitagawa
November 2014 | CWP45/14
Semiparametrically efficient estimation of the average linear regression function

Let Y be an outcome of interest, X a vector of treatment measures, and W a… Continue reading.

Bryan S. Graham, Cristine Campos de Xavier Pinto
November 2018

CWP62/18

Information redundancy neglect versus overconfidence: a social learning experiment

We study social learning in a continuous action space experiment. Subjects, acting in sequence, state their… Continue reading.

Marco Angrisani, Antonio Guarino, Philippe Jehiel, Toru Kitagawa
November 2018

CWP63/18

Previous version

Information redundancy neglect versus overconfidence: a social learning experiment
Marco Angrisani, Antonio Guarino, Philippe Jehiel, Toru Kitagawa
June 2017 | CWP32/17
Fast, “robust”, and approximately correct: estimating mixed demand systems

Many econometric models used in applied work integrate over unobserved heterogeneity. We show that a class… Continue reading.

Bernard Salanie, Frank A. Wolak
November 2018

CWP64/18

Nonparametric maximum likelihood methods for binary response models with random coefficients

Single index linear models for binary response with random coefficients have been extensively employed in many… Continue reading.

Jiaying Gu, Roger Koenker
November 2018

CWP65/18

Heterogenous coefficients, discrete instruments, and identification of treatment effects

Multidimensional heterogeneity and endogeneity are important features of a wide class of econometric models. We consider… Continue reading.

Whitney K. Newey, Sami Stouli
November 2018

CWP66/18

Estimation of a nonseparable heterogenous demand function with shape restrictions and Berkson errors

Berkson errors are commonplace in empirical microeconomics and occur whenever we observe an average in a… Continue reading.

Richard Blundell, Joel L. Horowitz, Matthias Parey
November 2018

CWP67/18

Distribution regression with sample selection, with an application to wage decompositions in the UK

We develop a distribution regression model under endogenous sample selection. This model is a semiparametric generalization… Continue reading.

Victor Chernozhukov, Ivan Fernandez-Val, Siyi Luo
November 2018

CWP68/18

High dimensional semiparametric moment restriction models

We consider nonlinear moment restriction semiparametric models where both the dimension of the parameter vector and… Continue reading.

Chaohua Dong, Jiti Gao, Oliver Linton
December 2018

CWP69/18

Previous version

High dimensional semiparametric moment restriction models
Chaohua Dong, Jiti Gao, Oliver Linton
January 2018 | CWP04/18
Network and panel quantile effects via distribution regression

This paper provides a method to construct simultaneous confidence bands for quantile functions and quantile effects… Continue reading.

Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
December 2018

CWP70/18

Latest version

Network and Panel Quantile Effects Via Distribution Regression
Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
June 2020 | CWP27/20

Previous version

Network and panel quantile effects via distribution regression
Victor Chernozhukov, Ivan Fernandez-Val, Martin Weidner
March 2018 | CWP21/18
Equality-minded treatment choice

The goal of many randomized experiments and quasi-experimental studies in economics is to inform policies that… Continue reading.

Toru Kitagawa, Aleksey Tetenov
December 2018

CWP71/18

Previous version

Equality-minded treatment choice
Toru Kitagawa, Aleksey Tetenov
February 2017 | CWP10/17
Decentralization estimators for instrumental variable quantile regression models

The instrumental variable quantile regression (IVQR) model of Chernozhukov and Hansen (2005, 2006) is a exible… Continue reading.

Hiroaki Kaido, Kaspar Wüthrich
December 2018

CWP72/18

Latest version

Decentralization estimators for instrumental variable quantile regression models
Hiroaki Kaido, Kaspar Wüthrich
August 2019 | CWP42/19
Inference on winners

Many empirical questions can be cast as inference on a parameter selected through optimization. For example,… Continue reading.

Isaiah Andrews, Toru Kitagawa, Adam McCloskey
December 2018

CWP73/18

Previous version

Inference on winners
Isaiah Andrews, Toru Kitagawa, Adam McCloskey
May 2018 | CWP31/18