Jennie E. Brand

Economics and Econometrics · 2006–2015

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 22 citations into it; #7,981 of 23,481 by trust here, #10,872 by citations
• Education — 16 citations into it; #4,273 of 11,309 by trust here, #6,846 by citations
• Sociology and Political Science — 15 citations into it; #6,316 of 22,756 by trust here, #10,132 by citations
• Statistics and Probability — 15 citations into it; #6,502 of 12,932 by trust here, #7,508 by citations
• General Health Professions — 13 citations into it; #4,499 of 4,781 by trust here, #4,328 by citations
• Demography — 8 citations into it; #1,379 of 4,236 by trust here, #2,065 by citations
• Causal Inference & Discovery — 5 citations into it
• Gender Studies — 5 citations into it

Whom Jennie E. Brand trusts overall

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

1. Donald B. Rubin
2. James J. Heckman
3. Paul R. Rosenbaum
4. Karsten Ingmar Paul
5. Michael E. Sobel
6. Joshua D. Angrist
7. Alan B. Krueger
8. S. Dale
9. F. McKee-Ryan
10. Guido W. Imbens

Who trusts Jennie E. Brand overall

1. M. Hout
2. Christopher R. Walters
3. Xiang Zhou
4. S. Morgan
5. Michael Gaddis
6. Mark R. Umbricht
7. Jennifer Todd
8. E. King
9. F. Fernandez
10. L. Pohlan

Papers from Jennie E. Brand's perspective

Ordered by how strongly the researchers Jennie E. Brand trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistics and Causal Inference
2. The central role of the propensity score in observational studies for causal effects
3. Estimating causal effects of treatments in randomized and nonrandomized studies.
4. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
5. Empirical Strategies in Labor Economics
6. Econometric Analysis of Cross Section and Panel Data
7. Implementing Matching Estimators for Average Treatment Effects in Stata
8. Observational Studies
9. Discrete Choice Methods with Simulation by Kenneth E. Train
10. Accounting for No-Shows in Experimental Evaluation Designs

Their papers

• Regression and matching estimates of the effects of elite college attendance on educational and career achievement (2006) — 211 citations
• Who benefits most from college? Evidence for negative selection in heterogeneous economic returns to higher education (2010) — 645 citations
• The Far-Reaching Impact of Job Loss and Unemployment (2015) — 602 citations