International Fellows

James L. Powell

Professor of Economics, University of California, Berkeley

Selected Publications

Kernel density estimation for undirected dyadic data

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

James L. Powell, Fengshi Niu, Bryan S. Graham
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 […]

James L. Powell, Whitney K. Newey
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 […]

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

Previous version

Quantile regression with panel data
James L. Powell, Bryan S. Graham, Alexandre Poirier, Jinyong Hahn
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 […]

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

Latest version

A quantile correlated random coefficients panel data model
James L. Powell, Alexandre Poirier, Jinyong Hahn, Bryan S. Graham
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 […]

James L. Powell, Richard Blundell
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. […]

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

Previous version

Endogeneity in nonparametric and semiparametric regression models
James L. Powell, Richard Blundell
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. […]

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

Latest version

Endogeneity in nonparametric and semiparametric regression models
James L. Powell, Richard Blundell
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 […]

James L. Powell, Richard Blundell
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 […]

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