Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
Preprint
- 1 January 1999
- preprint
- Published by Elsevier in SSRN Electronic Journal
Abstract
The assumption that the assignment to treatments is ignorable conditional on attributes plays an important role in the applied statistic and econometric evaluatKeywords
This publication has 17 references indexed in Scilit:
- Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training ProgramsJournal of the American Statistical Association, 1999
- The Role of the Propensity Score in Estimating Dose-Response FunctionsPublished by National Bureau of Economic Research ,1999
- The Economics and Econometrics of Active Labor Market ProgramsPublished by Elsevier ,1999
- Propensity Score Matching Methods for Non-experimental Causal StudiesPublished by National Bureau of Economic Research ,1998
- Matching As An Econometric Evaluation EstimatorThe Review of Economic Studies, 1998
- Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military ApplicantsEconometrica, 1998
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment EffectsEconometrica, 1998
- Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training ProgrammeThe Review of Economic Studies, 1997
- Statistics and Causal InferenceJournal of the American Statistical Association, 1986
- Conditional Independence in Statistical TheoryJournal of the Royal Statistical Society Series B: Statistical Methodology, 1979