On the Implications of Essential Heterogeneity for Estimating Causal Impacts Using Social Experiments

On the Implications of Essential Heterogeneity for Estimating Causal Impacts Using Social Experiments

Randomized control trials are sometimes used to estimate the aggregate benefit from some policy or program. To address the potential bias from selective take-up, the randomization is used as an instrumental variable for treatment status. Does this...

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Bibliographic Details
Main Author: Ravallion, Martin
Format: Policy Research Working Paper
Language:English
Published: 2012
Subjects:
COUNTERFACTUAL
DEVELOPMENT RESEARCH
DISEASE
ECONOMETRICS
ESTIMATORS
IMPACT EVALUATION
INCOME
INSTRUMENTAL VARIABLES
INTERVENTION
LEARNING
MODELING
PROGRAMS
RESEARCH WORKING PAPERS
SOCIAL EXPERIMENTS
SOCIAL PROGRAMS
TARGETING
TRAINING PROGRAMS
TREATMENT
TREATMENT EFFECTS
VARIABILITY
Online Access:http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110921143338
http://hdl.handle.net/10986/3568

Internet

http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20110921143338
http://hdl.handle.net/10986/3568

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