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James L. Powell

Personal Details

First Name:James
Middle Name:L.
Last Name:Powell
Suffix:
RePEc Short-ID:ppo728
[This author has chosen not to make the email address public]
https://eller.arizona.edu/people/james-l-powell
Terminal Degree:1982 (from RePEc Genealogy)

Affiliation

Economics Department
Eller College of Management
University of Arizona

Tucson, Arizona (United States)
http://economics.eller.arizona.edu/
RePEc:edi:eduazus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters Books

Working papers

  1. Bryan S. Graham & Fengshi Niu & James L. Powell, 2020. "Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression," Papers 2012.08444, arXiv.org, revised Mar 2021.
  2. Xiaohong Chen & Demian Pouzo & James L. Powell, 2019. "Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions," Papers 1902.10100, arXiv.org.
  3. Bryan S. Graham & Fengshi Niu & James L. Powell, 2019. "Kernel Density Estimation for Undirected Dyadic Data," Papers 1907.13630, arXiv.org.
  4. Whitney K. Newey & James L. Powell, 2017. "Instrumental variables estimation for nonparametric models," CeMMAP working papers 07/17, Institute for Fiscal Studies.
  5. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
  6. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers 12/15, Institute for Fiscal Studies.
  7. Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc.
  8. Richard Blundell & James L. Powell, 2001. "Endogeneity in semiparametric binary response models," CeMMAP working papers 05/01, Institute for Fiscal Studies.
  9. Richard Blundell & James L. Powell, 2001. "Endogeneity in nonparametric and semiparametric regression models," CeMMAP working papers 09/01, Institute for Fiscal Studies.
  10. Bo Honore & Shakeeb Khan & James L. Powell, 2000. "Quantile Regression Under Random Censoring," Econometric Society World Congress 2000 Contributed Papers 1894, Econometric Society.
  11. Whitney K. Newey & Powell, James L., 1999. "Two-Step Estimation, Optimal Moment Conditions, and Sample Selection Models," Working papers 99-06, Massachusetts Institute of Technology (MIT), Department of Economics.
  12. Whitney Newey & James Powell & Francis Vella, 1998. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Working papers 98-16, Massachusetts Institute of Technology (MIT), Department of Economics.
  13. Powell, James L. & Stoker, Thomas M., 1992. "Optimal bandwidth choice for density-weighted averages," Working papers 3424-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  14. Newey, W.K. & Powell, J.L. & Walker, J.R., 1990. "Semiparametric Estimation Of Selection Models: Some Empirical Results," Working papers 9001, Wisconsin Madison - Social Systems.
  15. Ahn, H. & Powell, J.L., 1990. "Semiparametric Estimation Of Censored Selection Models With A Nonparametric Selection Mechanism," Working papers 90-33, Wisconsin Madison - Social Systems.
  16. Powell, J.L., 1988. "Estimation Of Monotonic Regression Models Under Quantile Restrictions," Working papers 8818, Wisconsin Madison - Social Systems.
  17. Powell, James L., 1987. "Semiparametric Estimation Of Bivariate Latent Variable Models," SSRI Workshop Series 292689, University of Wisconsin-Madison, Social Systems Research Institute.
  18. Hausman, Jerry & Ichimura, Hidehiko & Newey, Whitney & Powell, James, 1986. "Semiparametric Identification And Estimation Of Polynomial Errors-In-Variables Models," SSRI Workshop Series 292684, University of Wisconsin-Madison, Social Systems Research Institute.
  19. Powell, James L., 1986. "Two-Step Quantile Estimation Of The Censored Regression Model," SSRI Workshop Series 292681, University of Wisconsin-Madison, Social Systems Research Institute.
  20. Powell, James L. & Stock, James H. & Stoker, Thomas M., 1986. "Semiparametric estimation of weighted average derivatives," Working papers 1793-86., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  21. J. Powell & T. Stoker, 1984. "The Estimation of Complete Aggregate Structures," Working papers 346, Massachusetts Institute of Technology (MIT), Department of Economics.
  22. J. Powell & W. Newey, 1984. "An Asymmetric Least Test of Heteroscedasticity," Working papers 337, Massachusetts Institute of Technology (MIT), Department of Economics.
  23. Ben S. Bernanke & James L. Powell, 1984. "The Cyclical Behavior of Industrial Labor Markets: A Comparison of the Pre-War and Post-War Eras," NBER Working Papers 1376, National Bureau of Economic Research, Inc.

Articles

  1. Chen, Xiaohong & Pouzo, Demian & Powell, James L., 2019. "Penalized sieve GEL for weighted average derivatives of nonparametric quantile IV regressions," Journal of Econometrics, Elsevier, vol. 213(1), pages 30-53.
  2. Hyungtaik Ahn & Hidehiko Ichimura & James L. Powell & Paul A. Ruud, 2018. "Simple Estimators for Invertible Index Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 1-10, January.
  3. Hyungtaik Ahn & Hidehiko Ichimura & James L. Powell & Paul A. Ruud, 2018. "Rejoinder for “Simple Estimators for Invertible Index Models”," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 22-23, January.
  4. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
  5. James L. Powell, 2017. "Identification and Asymptotic Approximations: Three Examples of Progress in Econometric Theory," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 107-124, Spring.
  6. Bryan S. Graham & James L. Powell, 2012. "Identification and Estimation of Average Partial Effects in “Irregular” Correlated Random Coefficient Panel Data Models," Econometrica, Econometric Society, vol. 80(5), pages 2105-2152, September.
  7. Graham, Bryan S. & Hahn, Jinyong & Powell, James L., 2009. "The incidental parameter problem in a non-differentiable panel data model," Economics Letters, Elsevier, vol. 105(2), pages 181-182, November.
  8. Blundell, Richard & Powell, James L., 2007. "Censored regression quantiles with endogenous regressors," Journal of Econometrics, Elsevier, vol. 141(1), pages 65-83, November.
  9. Andres Aradillas-Lopez & Bo E. Honoré & James L. Powell, 2007. "Pairwise Difference Estimation With Nonparametric Control Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1119-1158, November.
  10. Powell, James L., 2007. "THE ET INTERVIEW: TAKESHI AMEMIYA: Interviewed by James L. Powell," Econometric Theory, Cambridge University Press, vol. 23(1), pages 155-181, February.
  11. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
  12. Whitney K. Newey & James L. Powell, 2003. "Instrumental Variable Estimation of Nonparametric Models," Econometrica, Econometric Society, vol. 71(5), pages 1565-1578, September.
  13. Honore, Bo & Khan, Shakeeb & Powell, James L., 2002. "Quantile regression under random censoring," Journal of Econometrics, Elsevier, vol. 109(1), pages 67-105, July.
  14. Kenneth Y. Chay & James L. Powell, 2001. "Semiparametric Censored Regression Models," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 29-42, Fall.
  15. Khan, Shakeeb & Powell, James L., 2001. "Two-step estimation of semiparametric censored regression models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 73-110, July.
  16. Bo Honore & Ekaterini Kyriazidou & J. L. Powell, 2000. "Estimation of tobit-type models with individual specific effects," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 341-366.
  17. Whitney K. Newey & James L. Powell & Francis Vella, 1999. "Nonparametric Estimation of Triangular Simultaneous Equations Models," Econometrica, Econometric Society, vol. 67(3), pages 565-604, May.
  18. Powell, James L., 1996. "Rescaled methods-of-moments estimation for the Box-Cox regression model," Economics Letters, Elsevier, vol. 51(3), pages 259-265, June.
  19. Powell, James L. & Stoker, Thomas M., 1996. "Optimal bandwidth choice for density-weighted averages," Journal of Econometrics, Elsevier, vol. 75(2), pages 291-316, December.
  20. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
  21. Honore, Bo E. & Powell, James L., 1994. "Pairwise difference estimators of censored and truncated regression models," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 241-278.
  22. Newey, Whitney K. & Powell, James L., 1993. "Efficiency bounds for some semiparametric selection models," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 169-184, July.
  23. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July.
  24. Hausman, Jerry A. & Newey, Whitney K. & Ichimura, Hidehiko & Powell, James L., 1991. "Identification and estimation of polynomial errors-in-variables models," Journal of Econometrics, Elsevier, vol. 50(3), pages 273-295, December.
  25. Newey, Whitney K & Powell, James L & Walker, James R, 1990. "Semiparametric Estimation of Selection Models: Some Empirical Results," American Economic Review, American Economic Association, vol. 80(2), pages 324-328, May.
  26. Newey, Whitney K. & Powell, James L., 1990. "Efficient Estimation of Linear and Type I Censored Regression Models Under Conditional Quantile Restrictions," Econometric Theory, Cambridge University Press, vol. 6(3), pages 295-317, September.
  27. Powell, James L & Stock, James H & Stoker, Thomas M, 1989. "Semiparametric Estimation of Index Coefficients," Econometrica, Econometric Society, vol. 57(6), pages 1403-1430, November.
  28. Newey, Whitney K & Powell, James L, 1987. "Asymmetric Least Squares Estimation and Testing," Econometrica, Econometric Society, vol. 55(4), pages 819-847, July.
  29. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
  30. Powell, James L, 1986. "Symmetrically Trimmed Least Squares Estimation for Tobit Models," Econometrica, Econometric Society, vol. 54(6), pages 1435-1460, November.
  31. Powell, James L. & Stoker, Thomas M., 1985. "The estimation of complete aggregation structures," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 317-344.
  32. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
  33. Powell, James L, 1983. "The Asymptotic Normality of Two-Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 51(5), pages 1569-1575, September.
  34. Amemiya, Takeshi & Powell, James L., 1981. "A comparison of the Box-Cox maximum likelihood estimator and the non-linear two-stage least squares estimator," Journal of Econometrics, Elsevier, vol. 17(3), pages 351-381, December.

Chapters

  1. Powell, James L., 1986. "Estimation of semiparametric models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 41, pages 2443-2521, Elsevier.
  2. Ben S. Bernanke & James Powell, 1986. "The Cyclical Behavior of Industrial Labor Markets: A Comparison of the Prewar and Postwar Eras," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 583-638, National Bureau of Economic Research, Inc.

Books

  1. Hsiao,Cheng & Morimune,Kimio & Powell,James L. (ed.), 2011. "Nonlinear Statistical Modeling," Cambridge Books, Cambridge University Press, number 9780521169264, October.
  2. Hsiao,Cheng & Morimune,Kimio & Powell,James L. (ed.), 2001. "Nonlinear Statistical Modeling," Cambridge Books, Cambridge University Press, number 9780521662468, October.
  3. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521370905, October.
  4. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521424318, October.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

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  5. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
  6. Number of Citations
  7. Number of Citations, Discounted by Citation Age
  8. Number of Citations, Weighted by Simple Impact Factor
  9. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
  10. Number of Citations, Weighted by Recursive Impact Factor
  11. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  12. Number of Citations, Weighted by Number of Authors
  13. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  14. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
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  16. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
  17. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  18. h-index
  19. Number of Registered Citing Authors
  20. Number of Registered Citing Authors, Weighted by Rank (Max. 1 per Author)
  21. Number of Journal Pages, Weighted by Simple Impact Factor
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  25. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  26. Euclidian citation score
  27. Breadth of citations across fields
  28. Wu-Index
  29. Record of graduates

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 11 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (8) 2001-12-26 2008-11-11 2015-03-27 2017-05-14 2017-05-14 2019-03-04 2019-08-26 2021-02-01. Author is listed
  2. NEP-DCM: Discrete Choice Models (1) 2001-12-26
  3. NEP-NET: Network Economics (1) 2020-01-13
  4. NEP-ORE: Operations Research (1) 2021-03-22

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