Browsing All of EconStor by Author Graham, Bryan S.
Showing results 1 to 19 of 19
Year of Publication | Title | Author(s) |
2014 | Complementarity and aggregate implications of assortative matching: A nonparametric analysis | Graham, Bryan S.; Imbens, Guido W.; Ridder, Geert |
2015 | An econometric model of link formation with degree heterogeneity | Graham, Bryan S. |
2015 | Quantile regression with panel data | Graham, Bryan S.; Hahn, Jinyong; Poirier, Alexandre; Powell, James L. |
2016 | A quantile correlated random coefficients panel data model | Graham, Bryan S.; Hahn, Jinyong; Poirier, Alexandre; Powell, James L. |
2016 | Identification and efficiency bounds for the average match function under conditionally exogenous matching | Graham, Bryan S.; Imbens, Guido W.; Ridder, Geert |
2016 | Homophily and transitivity in dynamic network formation | Graham, Bryan S. |
2017 | An econometric model of network formation with degree heterogeneity | Graham, Bryan S. |
2018 | Semiparametrically efficient estimation of the average linear regression function | Graham, Bryan S.; Pinto, Cristine Campos de Xavier |
2019 | Kernel density estimation for undirected dyadic data | Graham, Bryan S.; Niu, Fengshi; Powell, James |
2019 | Network data | Graham, Bryan S. |
2020 | Teacher-to-classroom assignment and student achievement | Graham, Bryan S.; Ridder, Geert; Thiemann, Petra; Zamarro, Gema |
2020 | An optimal test for strategic interaction in social and economic network formation between heterogeneous agents | Pelican, Andrin; Graham, Bryan S. |
2020 | Sparse network asymptotics for logistic regression | Graham, Bryan S. |
2021 | Minimax risk and uniform convergence rates for nonparametric dyadic regression | Graham, Bryan S.; Niu, Fengshi; Powell, James |
2022 | Sparse network asymptotics for logistic regression under possible misspecification | Graham, Bryan S. |
2022 | An optimal test for strategic interaction in social and economic network formation between heterogeneous agents | Pelican, Andrin; Graham, Bryan S. |
2023 | Identification in a binary choice panel data model with a predetermined covariate | Bonhomme, Stéphane; Dano, Kevin; Graham, Bryan S. |
2023 | Identification in a binary choice panel data model with a predetermined covariate | Bonhomme, Stéphane; Dano, Kevin; Graham, Bryan S. |
2023 | Scenario sampling for large supermodular games | Graham, Bryan S.; Pelican, Andrin |