| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Adaptive Experimental Design Using the Propensity Score
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| Autores: |
Hahn, Jinyong
Hirano, Keisuke
Karlan, Dean S.
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| Data: |
2009-01-29
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| Ano: |
2009
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| Palavras-chave: |
Experimental design
Propensity score
Efficiency bound
Research Methods/ Statistical Methods
C1
C14
C9
C93
C13
|
| Resumo: |
Many social experiments are run in multiple waves, or are replications of earlier social experiments. In principle, the sampling design can be modified in later stages or replications to allow for more efficient estimation of causal effects. We consider the design of a two-stage experiment for estimating an average treatment effect, when covariate information is available for experimental subjects. We use data from the first stage to choose a conditional treatment assignment rule for units in the second stage of the experiment. This amounts to choosing the propensity score, the conditional probability of treatment given covariates. We propose to select the propensity score to minimize the asymptotic variance bound for estimating the average treatment effect. Our procedure can be implemented simply using standard statistical software and has attractive large-sample properties.
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| Tipo: |
Working or Discussion Paper
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/47107
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| Relação: |
Yale University>Economic Growth Center>Center Discussion Papers
Economic Growth Center Discussion Paper
969
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| Formato: |
24
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