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Bryan S Graham

Biographic Data

ID8805409
NAMEBryan S Graham
GIVEN NAMESBryan S
FAMILY NAMEGraham
SIGNATUREGRAHAM B S
AFFILIATIONSUniversity of California, Berkeley
ORCID0000-0002-9637-5282
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Teacher-to-Classroom Assignment and Student Achievement

    Open Access•Bryan S Graham, Geert Ridder et al.•ARTICLE•Journal of Business and Economic…•2023

    We study the effects of counterfactual teacher-to-classroom assignments on average student achievement in U.S. elementary and middle schools. We use the Measures of Effective Teaching (MET) experiment to semiparametrically identify the average reallocation effects (AREs) of such assignments. Our identification strategy exploits the random assignment of teachers to classrooms in MET schools. To account for noncompliance of some students and teache…

  • Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching

    Bryan S Graham, Guido W Imbens et al.•ARTICLE•Journal of Business and Economic…•2020

    Consider two heterogenous populations of agents who, when matched, jointly produce an output, Y. For example, teachers and classrooms of students together produce achievement, parents raise children, whose life outcomes vary in adulthood, assembly plant managers and workers produce a certain number of cars per month, and lieutenants and their platoons vary in unit effectiveness. Let W∈W={w1,...,wJ} and X∈X={x1,...,xK} denote agent types in the tw…

  • Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)

    Bryan S Graham, Cristine Campos De Xavier Pinto et al.•ARTICLE•Journal of Business and Economic…•2016

    We propose a locally efficient estimator for a class of semiparametric data combination problems. A leading estimand in this class is the average treatment effect on the treated (ATT). Data combination problems are related to, but distinct from, the class of missing data problems with data missing at random (of which the average treatment effect (ATE) estimand is a special case). Our estimator also possesses a double robustness property. Our proc…

No prominent works on this page.

  • Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST)

    Bryan S Graham, Cristine Campos De Xavier Pinto et al.•ARTICLE•Journal of Business and Economic…•2016

    We propose a locally efficient estimator for a class of semiparametric data combination problems. A leading estimand in this class is the average treatment effect on the treated (ATT). Data combination problems are related to, but distinct from, the class of missing data problems with data missing at random (of which the average treatment effect (ATE) estimand is a special case). Our estimator also possesses a double robustness property. Our proc…

  • Identification and Efficiency Bounds for the Average Match Function Under Conditionally Exogenous Matching

    Bryan S Graham, Guido W Imbens et al.•ARTICLE•Journal of Business and Economic…•2020

    Consider two heterogenous populations of agents who, when matched, jointly produce an output, Y. For example, teachers and classrooms of students together produce achievement, parents raise children, whose life outcomes vary in adulthood, assembly plant managers and workers produce a certain number of cars per month, and lieutenants and their platoons vary in unit effectiveness. Let W∈W={w1,...,wJ} and X∈X={x1,...,xK} denote agent types in the tw…

  • Teacher-to-Classroom Assignment and Student Achievement

    Open Access•Bryan S Graham, Geert Ridder et al.•ARTICLE•Journal of Business and Economic…•2023

    We study the effects of counterfactual teacher-to-classroom assignments on average student achievement in U.S. elementary and middle schools. We use the Measures of Effective Teaching (MET) experiment to semiparametrically identify the average reallocation effects (AREs) of such assignments. Our identification strategy exploits the random assignment of teachers to classrooms in MET schools. To account for noncompliance of some students and teache…

Econometrics (3 works) · Mathematics (3 works) · Statistics (3 works) · Advanced Causal Inference Techniques (2 works) · Computer Science (2 works) · Estimator (2 works) · Instrumental variable (2 works) · Psychology (2 works) · Random assignment (2 works) · Academic achievement (1 work)

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