Bryan S. Graham

Research

Working papers

  1. “An optimal test for strategic interaction in social and economic network formation between heterogeneous agents” submitted, 2020 (w/ Andrin Pelican)
  2. “Teacher-to-classroom assignment and student achievement” submitted, 2020 (w/ Geert Ridder, Petra Thiemann and Gema Zamarro
  3. “Kernel density estimation for undirected dyadic data” revision requested by the Journal of Econometrics, 2019 (w/ Fengshi Niu and James L. Powell)
  4. “Semiparametrically efficient estimation of the average linear regression function,” conditionally accepted by the Journal of Econometrics, 2018 (w/ Cristine Pinto)
  5. “Homophily and transitivity in dynamic network formation,” revision requested by the Review of Economic Studies, 2016, also available as a CEMMAP Working paper
    • iPython Notebook to replicate figures and Monte Carlos

Publications

(Note: documents made available for personal study/use only)

  1. Image of Book CoverThe Econometric Analysis of Network Data (B. Graham & A. de Paula, Eds.). Amsterdam: Academic Press, 2020
    • Note: This is an edited volume with contributions from an outstanding group of researchers.

  2. “Network data”, Handbook of Econometrics 7A (S. Durlauf, L. Hansen, J. Heckman & R. Matzkin, Eds.). Amsterdam: North-Holland, 2020
  3. “Dyadic regression”, The Econometric Analysis of Network Data (B. Graham & A. de Paula, Eds.). Amsterdam: Academic Press, 2020
  4. “Testing for externalities in network formation using simulation”, The Econometric Analysis of Network Data (B. Graham & A. de Paula, Eds.). Amsterdam: Academic Press, 2020 (w/ Andrin Pelican)
  5. “Identification and efficiency bounds for the average match function under conditionally exogenous matching,” Journal of Business and Economic Statistics 38 (2): 303 - 316, 2020 (w/ Guido W. Imbens and Geert Ridder)
    • Also available as a CEMMAP and NBER Working Paper.

  6. “A quantile correlated random coefficients panel data model,” Journal of Econometrics 206 (2): 305 - 335, 2018 (w/ Jinyong Hahn, Alex Poirier and Jim Powell)
  7. “Identifying and estimating neighborhood effects,” Journal of Economic Literature 56 (2): 450 - 500, 2018

  8. “An econometric model of network formation with degree heterogeneity,” Econometrica 85 (4): 1033 - 1063, 2017
  9. “Efficient estimation of data combination models by the method of auxiliary-to-study tilting (AST),” Journal of Business and Economic Statistics 31 (2): 288 - 301, 2016 (w/ Cristine Pinto and Daniel Egel)
  10. “Methods of identification in social networks,” Annual Review of Economics 7: 465 - 485, 2015

  11. “Complementarity and aggregate implications of assortative matching: a nonparametric analysis,” Quantitative Economics 5 (1): 29 - 66, 2014 (w/ Guido W. Imbens and Geert Ridder)
  12. Mobility and the Metropolis: How Communities Factor into Economic Mobility, A Report from the Pew Charitable Trusts. Washington D.C.: The Pew Charitable Trusts, 2013 (w/ Patrick Sharkey)
  13. “Comparative static and computational methods for an empirical one-to-one transferable utility matching model,” Advances in Econometrics 31: 153 - 181, 2013
  14. “Comment on “Social networks and the identification of peer effects” by Paul Goldsmith-Pinkham and Guido W. Imbens,” Journal of Business and Economic Statistics 31 (3): 266 - 270, 2013

  15. “Identification and estimation of average partial effects in `irregular’ correlated random coefficient panel data models,” Econometrica 80 (5): 2105 - 2152, 2012 (w/ James Powell)
  16. “Inverse probability tilting for moment condition models with missing data,” Review of Economic Studies 79 (3): 1053 - 1079, 2012 (w/ Cristine Pinto and Dan Egel)
  17. “Econometric methods for the analysis of assignment problems in the presence of complementarity and social spillovers,” Handbook of Social Economics 1B: 965 - 1052 (J. Benhabib, A. Bisin, & M. Jackson, Eds.). Amsterdam: North-Holland, 2011
  18. “Efficiency bounds for missing data models with semiparametric restrictions,” Econometrica 79 (2): 437 - 452, 2011
  19. “Robustness to parametric assumptions in missing data models,” American Economic Review: Papers and Proceedings 101 (3): 538 - 543, 2011 (w/ Keisuke Hirano)
  20. “The incidental parameter problem in a non-differentiable panel data model,” Economics Letters 105 (2): 181 - 182, 2009 (w/ Jinyong Hahn and Jim Powell)

  21. “Identifying social interactions through conditional variance restrictions,” Econometrica 76 (3): 643 - 660, 2008
  22. “Rich nations, poor nations: how much can multiple equilibria explain,” Journal of Economic Growth 11 (1): 5 - 41, 2006 (w/ Jon Temple)
  23. “Identification and estimation of the linear-in-means model of social interactions,” Economics Letters 88 (1): 1 - 6, 2005 (w/ Jinyong Hahn)

  24. “Longevity and life-cycle savings,” Scandinavian Journal of Economics 105 (3): 319 - 338, 2003 (w/ David Bloom and David Canning)