Hidehiko Ichimura
Statistics and Probability · 1998–2016
A researcher in the Science corpus: 9 papers; trusts 51 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 120 citations into it; #1,546 of 12,932 by trust here, #2,800 by citations
- Economics and Econometrics — 43 citations into it; #5,429 of 23,481 by trust here, #4,336 by citations
- Statistical Learning Theory — 21 citations into it
- Causal Inference & Discovery — 14 citations into it
- Artificial Intelligence — 13 citations into it
- Management Science and Operations Research — 5 citations into it; #6,919 of 11,946 by trust here, #8,906 by citations
Whom Hidehiko Ichimura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Whitney K. Newey
- Xiaohong Chen
- Chunrong Ai
- Victor Chernozhukov
- Jinyong Hahn
- Guido W. Imbens
- James M. Robins
- Frank Hampel
- Keisuke Hirano
- Bernard Walter Silverman
Who trusts Hidehiko Ichimura overall
- Christoph Rothe
- Guido W. Imbens
- James J. Heckman
- M. Lechner
- Arthur Lewbel
- M. D. Cattaneo
- Juan-Carlos Escanciano
- Alberto Abadie
- Susan Athey
- Markus Frölich
Papers from Hidehiko Ichimura's perspective
Ordered by how strongly the researchers Hidehiko Ichimura trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
- Regression Shrinkage and Selection via the Lasso
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- The asymptotic variance of semiparametric estimators
- Efficient estimation of average treatment effects using the estimated propensity score
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Semiparametric Efficiency Bounds
- The central role of the propensity score in observational studies for causal effects
- Instrumental variable estimation of nonparametric models
- Double/debiased machine learning for treatment and structural parameters
Their papers
- Characterization of the asymptotic distribution of semiparametric M-estimators (2006) — 88 citations
- Locally Robust Semiparametric Estimation (2016) — 243 citations
- Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators (2001) — 83 citations
- Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using Bounds (2004) — 314 citations
- What really happened to consumption inequality in the US? (2004) — 145 citations
- Estimating Derivatives in Nonseparable Models with Limited Dependent Variables (2008) — 47 citations
- The influence function of semiparametric estimators (2015) — 110 citations
- Implementing Nonparametric and Semiparametric Estimators (2006) — 96 citations
- Matching As An Econometric Evaluation Estimator (1998)