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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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. […]

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 […]

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 […]

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