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Bryan S. Graham

Personal Details

First Name:Bryan
Middle Name:S.
Last Name:Graham
Suffix:
RePEc Short-ID:pgr95
http://bryangraham.github.io/econometrics/
Department of Economics University of California - Berkeley 530 Evans Hall #3880 Berkeley, CA 94720
Terminal Degree:2005 Department of Economics; Harvard University (from RePEc Genealogy)

Affiliation

(99%) Department of Economics
University of California-Berkeley

Berkeley, California (United States)
http://emlab.berkeley.edu/econ/

510-642-0822
510-642-6615
549 Evans Hall # 3880, Berkeley, CA 94720-3880
RePEc:edi:debrkus (more details at EDIRC)

(1%) National Bureau of Economic Research (NBER)

Cambridge, Massachusetts (United States)
http://www.nber.org/

617-868-3900

1050 Massachusetts Avenue, Cambridge, Massachusetts 02138
RePEc:edi:nberrus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Editorship

Working papers

  1. Bryan S. Graham & Fengshi Niu & James L. Powell, 2021. "Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression," NBER Working Papers 28548, National Bureau of Economic Research, Inc.
  2. Bryan S. Graham & Geert Ridder & Petra M. Thiemann & Gema Zamarro, 2020. "Teacher-to-Classroom Assignment and Student Achievement," NBER Working Papers 27543, National Bureau of Economic Research, Inc.
  3. Andrin Pelican & Bryan S. Graham, 2020. "An optimal test for strategic interaction in social and economic network formation between heterogeneous agents," Papers 2009.00212, arXiv.org.
  4. Bryan S. Graham, 2020. "Sparse Network Asymptotics for Logistic Regression," NBER Working Papers 27962, National Bureau of Economic Research, Inc.
  5. Bryan S. Graham & Andrin Pelican, 2019. "Testing for Externalities in Network Formation Using Simulation," Papers 1908.00099, arXiv.org.
  6. Bryan S. Graham, 2019. "Network Data," NBER Working Papers 26577, National Bureau of Economic Research, Inc.
  7. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
  8. Bryan S. Graham & Fengshi Niu & James L. Powell, 2019. "Kernel Density Estimation for Undirected Dyadic Data," Papers 1907.13630, arXiv.org.
  9. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
  10. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers CWP08/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  11. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
  12. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2016. "Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching," NBER Working Papers 22098, National Bureau of Economic Research, Inc.
  13. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers CWP34/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  14. Bryan S. Graham, 2016. "Homophily and Transitivity in Dynamic Network Formation," NBER Working Papers 22186, National Bureau of Economic Research, Inc.
  15. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile Regression with Panel Data," NBER Working Papers 21034, National Bureau of Economic Research, Inc.
  16. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.
  17. Bryan S. Graham, 2014. "An econometric model of link formation with degree heterogeneity," NBER Working Papers 20341, National Bureau of Economic Research, Inc.
  18. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2011. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," NBER Working Papers 16928, National Bureau of Economic Research, Inc.
  19. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2010. "Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach," NBER Working Papers 16499, National Bureau of Economic Research, Inc.
  20. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2009. "Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis," NBER Working Papers 14860, National Bureau of Economic Research, Inc.
  21. 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.
  22. Bryan S. Graham, 2008. "Efficiency bounds for missing data models with semiparametric restrictions," NBER Working Papers 14376, National Bureau of Economic Research, Inc.
  23. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.
  24. David E. Bloom & David Canning & Bryan Graham, 2002. "Longevity and Life Cycle Savings," NBER Working Papers 8808, National Bureau of Economic Research, Inc.
  25. Graham, Bryan S. & Jonathan Temple, 2002. "Rich Nations, Poor Nations: How much can multiple equilibria explain?," Royal Economic Society Annual Conference 2002 91, Royal Economic Society.

Articles

  1. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2020. "Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 303-316, April.
  2. 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.
  3. Bryan S. Graham, 2018. "Identifying and Estimating Neighborhood Effects," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 450-500, June.
  4. Bryan S. Graham, 2017. "An Econometric Model of Network Formation With Degree Heterogeneity," Econometrica, Econometric Society, vol. 85, pages 1033-1063, July.
  5. Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2016. "Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 288-301, April.
  6. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.
  7. Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2014. "Complementarity and aggregate implications of assortative matching: A nonparametric analysis," Quantitative Economics, Econometric Society, vol. 5, pages 29-66, March.
  8. Bryan S. Graham, 2013. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 266-270, July.
  9. 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.
  10. Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 1053-1079.
  11. Bryan S. Graham & Keisuke Hirano, 2011. "Robustness to Parametric Assumptions in Missing Data Models," American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.
  12. Bryan S. Graham, 2011. "Efficiency Bounds for Missing Data Models With Semiparametric Restrictions," Econometrica, Econometric Society, vol. 79(2), pages 437-452, March.
  13. 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.
  14. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.
  15. Bryan Graham & Jonathan Temple, 2006. "Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain?," Journal of Economic Growth, Springer, vol. 11(1), pages 5-41, March.
  16. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.
  17. David E. Bloom & David Canning & Bryan Graham, 2003. "Longevity and Life‐cycle Savings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 105(3), pages 319-338, September.

Editorship

  1. The Review of Economics and Statistics, MIT Press.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Average Rank Score
  2. Number of Distinct Works, Weighted by Simple Impact Factor
  3. Number of Distinct Works, Weighted by Recursive Impact Factor
  4. Number of Distinct Works, Weighted by Number of Authors and Simple Impact Factors
  5. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
  6. Number of Citations, Weighted by Simple Impact Factor
  7. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
  8. Number of Citations, Weighted by Recursive Impact Factor
  9. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  10. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  11. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
  12. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  13. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
  14. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  15. Number of Journal Pages, Weighted by Simple Impact Factor
  16. Number of Journal Pages, Weighted by Recursive Impact Factor
  17. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  18. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
  19. Breadth of citations across fields
  20. 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 29 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 (15) 2008-05-17 2008-10-07 2008-11-11 2009-04-13 2011-04-16 2014-08-02 2015-03-27 2016-06-14 2017-05-14 2017-05-14 2018-11-12 2019-08-26 2019-09-02 2020-02-03 2020-11-09. Author is listed
  2. NEP-NET: Network Economics (12) 2014-11-28 2015-11-01 2016-06-14 2016-07-02 2016-09-04 2017-05-14 2020-01-13 2020-01-13 2020-02-03 2020-09-14 2020-09-28 2020-11-09. Author is listed
  3. NEP-ORE: Operations Research (6) 2018-12-10 2019-02-18 2020-02-03 2020-09-28 2020-11-09 2021-03-22. Author is listed
  4. NEP-URE: Urban & Real Estate Economics (6) 2016-06-14 2016-07-02 2016-09-04 2017-05-14 2020-09-07 2020-09-14. Author is listed
  5. NEP-SOC: Social Norms & Social Capital (3) 2014-11-28 2016-06-14 2016-07-02
  6. NEP-GTH: Game Theory (2) 2016-06-14 2016-07-02
  7. NEP-DCM: Discrete Choice Models (1) 2017-05-14
  8. NEP-HEA: Health Economics (1) 2002-03-14
  9. NEP-HME: Heterodox Microeconomics (1) 2014-11-28
  10. NEP-LAB: Labour Economics (1) 2016-09-04
  11. NEP-MIC: Microeconomics (1) 2016-06-14
  12. NEP-UPT: Utility Models & Prospect Theory (1) 2016-07-02

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