Christian Volpe Martincus

Economics and Econometrics · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 68 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 113 citations into it; #10,378 of 23,481 by trust here, #13,168 by citations
• Strategy and Management — 32 citations into it; #5,877 of 10,874 by trust here, #8,192 by citations
• Statistics and Probability — 27 citations into it
• Sociology and Political Science — 15 citations into it
• Development — 7 citations into it; #290 of 877 by trust here, #343 by citations
• Finance — 7 citations into it
• Soil Science — 7 citations into it
• Political Science and International Relations — 6 citations into it

Whom Christian Volpe Martincus trusts overall

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

1. Alberto Abadie
2. Guido W. Imbens
3. David L. Hummels
4. Donald B. Rubin
5. Paul R. Rosenbaum
6. Sourafel Girma
7. Guy Michaels
8. M. Lawless
9. B. Sianesi
10. Andrew B. Bernard

Who trusts Christian Volpe Martincus overall

1. Udichibarna Bose
2. Jeronimo Carballo
3. Stefano Filomeni
4. S. Aggarwal
5. A. Cusolito
6. Olivier Cadot
7. A. Coşar
8. Sushanta Mallick

Papers from Christian Volpe Martincus's perspective

Ordered by how strongly the researchers Christian Volpe Martincus 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. Estimating causal effects of treatments in randomized and nonrandomized studies.
3. Statistics and Causal Inference
4. Estimation of Average Treatment Effects Based on Propensity Scores
5. Efficient estimation of average treatment effects using the estimated propensity score
6. Econometric Analysis of Cross Section and Panel Data
7. Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
8. The Role of the Propensity Score in Estimating Dose-Response Functions
9. [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
10. Semiparametric Difference-in-Differences Estimators

Their papers

• Shaky Roads and Trembling Exports: Assessing the Trade Effects of Domestic Infrastructure Using a Natural Experiment (2012) — 134 citations
• Is Export Promotion Effective in Developing Countries? Firm-Level Evidence on the Intensive and Extensive Margins of Exports (2008) — 294 citations
• Roads, exports and employment: Evidence from a developing country (2017) — 137 citations
• Beyond The Average Effects: The Distributional Impacts of Export Promotion Programs in Developing Countries (2010) — 155 citations