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Regression analysis / Design of experiments / Epidemiology / Propensity score matching / Propensity score / Matching / Statistical power / Confounding / Statistics / Econometrics / Observational study


Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies
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Document Date: 2012-06-11 20:46:03

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City

Austin / /

Company

International Finance Corporation / /

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Facility

Barrows Hall / Institute of Governmental Studies / /

IndustryTerm

even law / machine learning algorithms / evolutionary search algorithm / iterative algorithm / empirical applications / genetic search algorithm / automated iterative algorithm / search algorithm / /

Organization

Center for Causal Inference / Institute of Governmental Studies / Department of Statistics / Travers Department of Political Science / /

Person

Alexis DiamondĀŽ Jasjeet / Multivariate Matching / Rajeev Dehejia / Michael Greenstone / Walter Mebane / Jr. / Kevin Quinn / Ho / Devin Caughey / Jonathan Wand / Guido Imbens / Distance Metric / Jens Hainmueller / Jamie Robins / Phil Schrodt / John Henderson / Gary King / Erin Hartman / Kosuke Imai / Henry Brady / Roc / Joseph Hotz / Huber / Gordon / Donald Rubin / Jeffrey Smith / Alberto Abadie / Petra Todd / Multivariate Matching Method / /

Position

editor / King / Director / researcher / General / Associate Professor / Monitoring and Evaluation Officer / East Asia Pacific / Corresponding Author / /

ProvinceOrState

Maryland / California / /

PublishedMedium

the American Economic Review / The Review of Economics and Statistics / Journal of Political Economy / Quarterly Journal of Economics / /

Region

East Asia Pacific / East Asia / /

Technology

machine learning algorithms / GenMatch algorithm / 2.3 An Iterative Algorithm / search algorithm / automated iterative algorithm / iterative algorithm / evolutionary search algorithm / simulation / genetic search algorithm / /

URL

http /

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