| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
A Small-Sample Estimator for the Sample-Selection Model
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| Autores: |
Golan, Amos
Moretti, Enrico
Perloff, Jeffrey M.
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| Data: |
2006-02-06
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| Ano: |
2001
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| Palavras-chave: |
Maximum entropy
Sample selection
Monte Carlo experiments
Labor and Human Capital
Research Methods/ Statistical Methods
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| Resumo: |
A semiparametric estimator for evaluating the parameters of data generated under a sample selection process is developed. This estimator is based on the generalized maximum entropy estimator and performs well for small and ill-posed samples. Theoretical and sampling comparisons with parametric and semiparametric estimators are given. This method and standard ones are applied to three small-sample empirical applications of the wage-participation model for female teenage heads of households, immigrants, and Native Americans.
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| Tipo: |
Working or Discussion Paper
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| Idioma: |
Inglês
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| Identificador: |
19794
http://purl.umn.edu/25047
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| Editor: |
AgEcon Search
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| Relação: |
University of California, Berkeley>Department of Agricultural and Resource Economics>CUDARE Working Papers
CUDARE Working Paper 955
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| Formato: |
41
application/pdf
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