| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
DOUBLE-HURDLE MODEL WITH BIVARIATE NORMAL ERRORS: AN APPLICATION TO U.S. RICE DEMAND
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| Autores: |
Gao, Xiaoming
Wailes, Eric J.
Cramer, Gail L.
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| Data: |
2003-01-07
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| Ano: |
1995
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| Palavras-chave: |
Double hurdle
Non-normal error distribution
Rice demand
Crop Production/Industries
Demand and Price Analysis
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| Resumo: |
Per capita rice consumption in the U.S. has doubled over the past decade. The effects of social and demographic variables on the household's rice consumption decisions are analyzed along with income and price variables. A double-hurdle model is used to solve simultaneously the consumer decisions whether to purchase rice and how much. The joint decision hypothesis is tested and accepted. The non-normal distribution of error terms may be responsible for possible bias in the empirical test of the joint decision hypothesis. The hyperbolic sine transformation is used to correct the problem in this study prior to testing the joint decision hypothesis.
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| Tipo: |
Journal Article
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| Idioma: |
Inglês
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| Identificador: |
6583
http://purl.umn.edu/15273
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| Editor: |
AgEcon Search
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| Relação: |
Journal of Agricultural and Applied Economics>Volume 27, Number 02, December 1995
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| Formato: |
14
application/pdf
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