John C. Ham
Statistics and Probability · 2010–2011
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 25 citations into it
- Economics and Econometrics — 22 citations into it; #13,233 of 23,481 by trust here, #18,597 by citations
- Finance — 6 citations into it
- Sociology and Political Science — 6 citations into it
- Causal Inference & Discovery — 5 citations into it
Whom John C. Ham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald W. K. Andrews
- Alberto Abadie
- Guido W. Imbens
- Peter J. Bickel
- David Neumark
- Markus Frölich
- Donald B. Rubin
- Jerry A. Hausman
- Moshe Buchinsky
- Keisuke Hirano
Who trusts John C. Ham overall
- A. Hanson
- Patrik Guggenberger
- Shawn M. Rohlin
- Ritam Chaurey
- L. Gobillon
- Nathaniel Baum-Snow
- Ioana Marinescu
- Roland Rathelot
- M. Bun
- P. Givord
Papers from John C. Ham's perspective
Ordered by how strongly the researchers John C. Ham trusts endorse each paper. Same corpus, a different order for every researcher.
- A Conditional Likelihood Ratio Test for Structural Models
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Identification of Causal effects Using Instrumental Variables
- End-of-Sample Instability Tests
- The central role of the propensity score in observational studies for causal effects
- Efficient estimation of average treatment effects using the estimated propensity score
- Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence (Review of Economics and Statistics)
- Semiparametric Difference-in-Differences Estimators
- Nonparametric IV Estimation of Local Average Treatment Effects with Covariates (Social Science Research Network)
- Statistics and Causal Inference
Their papers
- The Hausman Test and Weak Instruments (2011) — 108 citations
- Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men (2011) — 63 citations
- Government Programs Can Improve Local Labor Markets: Evidence from State Enterprise Zones, Federal Empowerment Zones and Federal Enterprise Communities (2010) — 244 citations