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Bryan S. Graham

Personal Details

First Name:Bryan
Middle Name:S.
Last Name:Graham
Suffix:
RePEc Short-ID:pgr95
[This author has chosen not to make the email address public]
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/
RePEc:edi:debrkus (more details at EDIRC)

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

Cambridge, Massachusetts (United States)
http://www.nber.org/
RePEc:edi:nberrus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Editorship

Working papers

  1. Stéphane Bonhomme & Kevin Dano & Bryan S. Graham, 2023. "Identification in a Binary Choice Panel Data Model with a Predetermined Covariate," NBER Working Papers 31027, National Bureau of Economic Research, Inc.
  2. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," NBER Working Papers 31511, National Bureau of Economic Research, Inc.
  3. 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.
  4. 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, revised May 2022.
  5. Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020. "Teacher-to-classroom assignment and student achievement," Papers 2007.02653, arXiv.org, revised Sep 2020.
  6. Bryan S. Graham, 2020. "Sparse Network Asymptotics for Logistic Regression under Possible Misspecification," NBER Working Papers 27962, National Bureau of Economic Research, Inc.
  7. Bryan S. Graham & Andrin Pelican, 2019. "Testing for Externalities in Network Formation Using Simulation," Papers 1908.00099, arXiv.org.
  8. Bryan S. Graham, 2019. "Dyadic Regression," Papers 1908.09029, arXiv.org.
  9. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
  10. Bryan S. Graham & Fengshi Niu & James L. Powell, 2019. "Kernel Density Estimation for Undirected Dyadic Data," Papers 1907.13630, arXiv.org.
  11. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
  12. 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.
  13. Bryan S. Graham, 2016. "Identifying and Estimating Neighborhood Effects," NBER Working Papers 22575, National Bureau of Economic Research, Inc.
  14. Bryan S. Graham & Guido Imbens & Geert Ridder, 2016. "Identification and efficiency bounds for the average match function under conditionally exogenous matching," CeMMAP working papers CWP10/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  15. 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.
  16. Bryan S. Graham, 2016. "Homophily and transitivity in dynamic network formation," CeMMAP working papers CWP16/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  17. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  18. Bryan S. Graham, 2015. "An econometric model of link formation with degree heterogeneity," CeMMAP working papers CWP43/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  19. Bryan S. Graham, 2014. "Methods of Identification in Social Networks," NBER Working Papers 20414, National Bureau of Economic Research, Inc.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. Bryan S. Graham, 2008. "Efficiency bounds for missing data models with semiparametric restrictions," NBER Working Papers 14376, National Bureau of Economic Research, Inc.
  25. 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.
  26. David E. Bloom & David Canning & Bryan Graham, 2002. "Longevity and Life Cycle Savings," NBER Working Papers 8808, National Bureau of Economic Research, Inc.
  27. Bryan S. Graham & Jonathan Temple, 2001. "Rich Nations, Poor Nations: How Much Can Multiple Equilibria Explain?," CID Working Papers 76A, Center for International Development at Harvard University.

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. Bryan S. Graham, 2018. "Identifying and Estimating Neighborhood Effects," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 450-500, June.
  3. 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.
  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 & Cristine Campos De Xavier Pinto & Daniel Egel, 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
  10. 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.
  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
  11. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  12. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
  13. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  14. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
  15. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  16. Number of Journal Pages, Weighted by Simple Impact Factor
  17. Number of Journal Pages, Weighted by Recursive Impact Factor
  18. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  19. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
  20. Breadth of citations across fields
  21. Wu-Index
  22. 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 31 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 (16) 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 2023-08-28. 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 and 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 and Social Capital (3) 2014-11-28 2016-06-14 2016-07-02
  6. NEP-DCM: Discrete Choice Models (2) 2017-05-14 2023-04-10
  7. NEP-GTH: Game Theory (2) 2016-06-14 2016-07-02
  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 and Prospect Theory (1) 2016-07-02

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