Maren Duvendack
Economics and Econometrics · 2011–2019
A researcher in the Science corpus: 5 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 132 citations into it; #19,692 of 23,481 by trust here, #14,051 by citations
- Statistics and Probability — 44 citations into it
- Safety Research — 43 citations into it; #4,525 of 5,829 by trust here, #3,824 by citations
- Sociology and Political Science — 39 citations into it
- Accounting — 27 citations into it
- Management Science and Operations Research — 15 citations into it
- Soil Science — 15 citations into it
- Urban Studies — 15 citations into it
Whom Maren Duvendack trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Caliendo
- M. Pitt
- Donald B. Rubin
- Sascha O. Becker
- Shahidur R. Khandker
- M. Ravallion
- Edward E. Leamer
- James J. Heckman
- Matthieu Chemin
- Paul R. Rosenbaum
Who trusts Maren Duvendack overall
Papers from Maren Duvendack's perspective
Ordered by how strongly the researchers Maren Duvendack trusts endorse each paper. Same corpus, a different order for every researcher.
- The central role of the propensity score in observational studies for causal effects
- Observational Studies
- Evaluating the Econometric Evaluations of Training Programs with Experimental Data
- Estimation of Average Treatment Effects Based on Propensity Scores
- [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
- Some Practical Guidance for the Implementation of Propensity Score Matching (Social Science Research Network)
- Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities, Guide to Replication of Miguel and Kremer (2004)
- Practical propensity score matching: a reply to Smith and Todd
Their papers
- High Noon for Microfinance Impact Evaluations: Re-investigating the Evidence from Bangladesh (2012) — 141 citations
- Is fin-tech the new panacea for poverty alleviation and local development? Contesting Suri and Jack’s M-Pesa findings published in Science (2019) — 115 citations
- Does Government Spending Affect Income Poverty? A Meta-regression Analysis (2018) — 134 citations
- DOES GOVERNMENT SPENDING AFFECT INCOME INEQUALITY? A META‐REGRESSION ANALYSIS (2017) — 160 citations
- Systematic Review. What is the evidence of the impact of microfinance on the well-being of poor people? (2011) — 250 citations