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Faculty : Keisuke Hirano

Current Research
Keisuke Hirano's research is in econometric methodology for analyzing cross-sectional and panel data. He has worked on Bayesian estimators for longitudinal data, propensity-score based estimation of treatment effects, and optimal estimation of structural models of auctions.
Publications
- "Asymptotic Efficiency in Parametric Structural Models with Parameter-Dependent Support," (with J. Porter), 2003 Econometrica 71,1307-1338.
- "Efficient Estimation of Average Treatment Effects using the Estimated Propensity Score," (with G. Imbens and G. Ridder), 2003, Econometrica 71, 1161-1189.
- "Semiparametric Bayesian Inference in Autoregressive Panel Data Models," 2002, Econometrica 70, 781-799.
- "Combining Panel Data Sets with Attrition and Refreshment Samples," (with G. Imbens, G. Ridder, and D. Rubin), 2001, Econometrica 69, 1645-1659.
- "Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization," (with G. Imbens), 2001, Health Services and Outcomes Research Methodology 2:259-278.
- "Assessing the Effect of an Influenza Vaccine in an Encouragement Design with Covariates," (with G. Imbens, D. Rubin, and X. Zhou), 2000, Biostatistics 1, 69-88.
- "Predictive Distributions based on Longitudinal Earnings Data," (with G. Chamberlain), 1999, Annales d'Economie et de Statistique 55-56, 211-242.
- "A Semiparametric Model for Labor Earnings Dynamics," in Practical Nonparametric and Semiparametric Bayesian Statistics, ed. D. Dey, P. Mueller, D. Sinha, New York: Springer--Verlag, 1998.
Working Papers
- "The Propensity Score with Continuous Treatments," (with G. Imbens), 2004.
- "Efficiency in Asymptotic Shift Experiments," (with J. Porter), 2003.
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