Bryan S. Graham

Statistics and Probability · 2002–2017

A researcher in the Science corpus: 11 papers; trusts 73 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 106 citations into it; #2,095 of 12,932 by trust here, #2,023 by citations
• Economics and Econometrics — 93 citations into it; #3,235 of 23,481 by trust here, #4,052 by citations
• Sociology and Political Science — 26 citations into it; #4,835 of 22,756 by trust here, #8,985 by citations
• Education — 16 citations into it; #458 of 11,309 by trust here, #1,812 by citations
• Management Science and Operations Research — 13 citations into it; #1,947 of 11,946 by trust here, #2,016 by citations
• Statistical and Nonlinear Physics — 12 citations into it; #8,357 of 10,127 by trust here, #8,981 by citations
• Causal Inference & Discovery — 11 citations into it
• Artificial Intelligence — 8 citations into it

Whom Bryan S. Graham trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Charles F. Manski
2. Joshua D. Angrist
3. Whitney K. Newey
4. Jinyong Hahn
5. Jeffrey M. Wooldridge
6. Gary Chamberlain
7. J. Sanchis-Llopis
8. W. Hoeffding
9. Anastasios A. Tsiatis
10. D. R. Cox

Who trusts Bryan S. Graham overall

1. Bruce I. Sacerdote
2. Susan Athey
3. Michela Tincani
4. Debopam Bhattacharya
5. Guido W. Imbens
6. David A. Hirshberg
7. Yannis M. Ioannides
8. Kosuke Imai
9. Stefan Wager
10. Victor Chernozhukov

Papers from Bryan S. Graham's perspective

Ordered by how strongly the researchers Bryan S. Graham trusts endorse each paper. Same corpus, a different order for every researcher.

1. The central role of the propensity score in observational studies for causal effects
2. Asymptotic efficiency in estimation with conditional moment restrictions
3. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
4. The asymptotic variance of semiparametric estimators
5. VARIETIES OF SELECTION BIAS
6. Longitudinal Analysis of Labor Market Data.
7. Statistics and Causal Inference
8. Estimating causal effects of treatments in randomized and nonrandomized studies.
9. Efficient estimation of average treatment effects using the estimated propensity score
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Inverse Probability Tilting for Moment Condition Models with Missing Data (2012) — 206 citations
• Efficiency Bounds for Missing Data Models with Semiparametric Restrictions (2008) — 66 citations
• Identification and Estimation of Average Partial Effects in “Irregular” Correlated Random Coefficient Panel Data Models (2012) — 96 citations
• Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST) (2016) — 77 citations
• Complementarity and Aggregate Implications of Assortative Matching: A Nonparametric Analysis (2014) — 75 citations
• A quantile correlated random coefficients panel data model (2016) — 47 citations
• Identification and estimation of the linear-in-means model of social interactions (2005) — 131 citations
• An Econometric Model of Network Formation With Degree Heterogeneity (2017) — 225 citations
• Identifying Social Interactions Through Conditional Variance Restrictions (2008) — 374 citations
• Identifying Social Interactions through Excess Variance Contrasts (2005) — 63 citations
• Longevity and Life Cycle Savings (2002) — 451 citations