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Outline. Overview: Why Propensity Score Matching?How to use PSM: Choices to be madeExample: Impact evaluation of Yeshasvini health care programme. The best way for evaluation. Randomised experimentNot always possibleQuasi experimental design : Regression, Matching ( Direct, PSM, DID). Reg
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1. Propensity Score Matching: A technique for Program Evaluation Aradhna Aggarwal
Department of Business Economics,
South Campus, University of Delhi
Sambodhi international conference, 29 April, 2011,
2. Outline Overview: Why Propensity Score Matching?
How to use PSM: Choices to be made
Example: Impact evaluation of Yeshasvini health care programme
3. The best way for evaluation Randomised experiment
Not always possible
Quasi experimental design :
Regression,
Matching ( Direct, PSM, DID)
4. Regression Control the difference between participants and non participants.
The problem of non observables.
Based on parametric relationship.
demanding with respect to the modelling assumptions