International Fellows

James L. Powell

University of California, Berkeley

Professor of Economics, University of California, Berkeley

Selected Publications

Minimax risk and uniform convergence rates for nonparametric dyadic regression

Let i = 1, . . . , N index a simple random sample of units… Continue reading.

Bryan S. Graham, Fengshi Niu, James L. Powell
4 March 2021 | CWP09/21
Kernel density estimation for undirected dyadic data

We study nonparametric estimation of density functions for undirected dyadic random variables (i.e., random variables defined… Continue reading.

Bryan S. Graham, Fengshi Niu, James L. Powell
7 August 2019 | CWP39/19
Instrumental variables estimation for nonparametric models

Whitney Newey and James Powell, founding CeMMAP Fellows, wrote an influential paper on instrumental variable estimation… Continue reading.

Whitney K. Newey, James L. Powell
3 February 2017 | CWP07/17
A quantile correlated random coefficients panel data model

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel… Continue reading.

Bryan S. Graham, Jinyong Hahn, Alexandre Poirier, James L. Powell
25 August 2016 | CWP34/16

Previous version

Quantile regression with panel data
Bryan S. Graham, Jinyong Hahn, Alexandre Poirier, James L. Powell
17 March 2015 | CWP12/15
Quantile regression with panel data

We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel… Continue reading.

Bryan S. Graham, Jinyong Hahn, Alexandre Poirier, James L. Powell
17 March 2015 | CWP12/15

Latest version

A quantile correlated random coefficients panel data model
Bryan S. Graham, Jinyong Hahn, Alexandre Poirier, James L. Powell
25 August 2016 | CWP34/16
Endogeneity in semiparametric binary response models

This paper develops and implements semiparametric methods for estimating binary response (binary choice) models withcontinuous endogenous… Continue reading.

Richard Blundell, James L. Powell
1 July 2004 | Journal Article
Endogeneity in nonparametric and semiparametric regression models

This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous regressors…. Continue reading.

Richard Blundell, James L. Powell
1 April 2003 | Journal Article

Previous version

Endogeneity in nonparametric and semiparametric regression models
Richard Blundell, James L. Powell
1 November 2001 | CWP09/01
Endogeneity in nonparametric and semiparametric regression models

This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous regressors…. Continue reading.

Richard Blundell, James L. Powell
1 November 2001 | CWP09/01

Latest version

Endogeneity in nonparametric and semiparametric regression models
Richard Blundell, James L. Powell
1 April 2003 | Journal Article
Endogeneity in semiparametric binary response models

This paper develops and implements semiparametric methods for estimating binary response (binary choice) models withcontinuous endogenous… Continue reading.

Richard Blundell, James L. Powell
1 July 2001 | CWP05/01
Estimation of polynomial errors-in-variables models

Methods of estimation of regression coefficients are proposed when the regression function includes a polynomial in… Continue reading.

Jerry Hausman, Hidehiko Ichimura, Whitney K. Newey, James L. Powell
1 December 1991 | Journal Article