Zhong Zhao
Statistics and Probability · Social Science Research Network · 2004–2017
A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 45 citations into it; #2,128 of 12,932 by trust here, #2,751 by citations
- Economics and Econometrics — 29 citations into it; #3,445 of 23,481 by trust here, #6,966 by citations
- Sociology and Political Science — 23 citations into it; #5,512 of 22,756 by trust here, #14,917 by citations
- Political Science and International Relations — 15 citations into it; #1,000 of 4,701 by trust here, #2,424 by citations
- Causal Inference & Discovery — 13 citations into it
- General Health Professions — 10 citations into it
- Health — 8 citations into it
- Safety Research — 7 citations into it
Whom Zhong Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James J. Heckman
- Donald B. Rubin
- Guido W. Imbens
- Paul R. Rosenbaum
- M. Lechner
- R. Lalonde
- Jinyong Hahn
- Joshua D. Angrist
- N. Zhu
- Jeffrey A. Smith
Who trusts Zhong Zhao overall
- N. Cuong
- Ben B. Hansen
- K. Mullan
- Elizabeth A. Stuart
- Martin Huber
- Shi Li
- Richard Blundell
- Pauline Grosjean
- Wang-Sheng Lee
- Marco Caliendo
Papers from Zhong Zhao's perspective
Ordered by how strongly the researchers Zhong Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- VARIETIES OF SELECTION BIAS
- The central role of the propensity score in observational studies for causal effects
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Statistics and Causal Inference
- Sample selection bias as a specification error
- Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
- [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
- Longitudinal Analysis of Labor Market Data.
- INFERENCE AND MISSING DATA
- Controlling Bias in Observational Studies: A Review.
Their papers
- Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence (2004) — 442 citations
- Migration, Labor Market Flexibility, and Wage Determination in China: A Review (2005) — 163 citations
- Evaluating continuous training programmes by using the generalized propensity score (2012) — 205 citations
- Where are Migrants from? Inter- vs. Intra-Provincial Rural-Urban Migration in China (2017) — 180 citations
- The Health Implications of Social Pensions: Evidence from China's New Rural Pension Scheme (2016) — 163 citations
- Sensitivity of Propensity Score Methods to the Specifications (2008) — 158 citations