| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Discrete choice models, which one performs better?
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| Autores: |
Gallardo, Rosa Karina
Chang, Jae Bong
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| Data: |
2010-05-03
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| Ano: |
2010
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| Palavras-chave: |
Multinomial logit model
Error components
Random parameters
Discrete choice
Research Methods/ Statistical Methods
C25
D12
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| Resumo: |
For over the last thirty years the multinomial logit model has been the standard in choice modeling. Development in econometrics and computational algorithms has led to the increasing tendency to opt for more flexible models able to depict more realistically choice behavior. This study compares three discrete choice models, the standard multinomial logit, the error components logit, and the random parameters logit. Data were obtained from two choice experiments conducted to investigate consumers’ preferences for fresh pears receiving several postharvest treatments. Model comparisons consisted of in-sample and holdout sample evaluations. Results show that product characteristics hence, datasets, influence model performance. We also found that the multinomial logit model outperformed in at least one of three evaluations in both datasets. Overall, findings signal the need for further studies controlling for context and dataset to have more conclusive cues for discrete choice models capabilities.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/61483
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| Relação: |
Agricultural and Applied Economics Association>2010 Annual Meeting, July 25-27, 2010, Denver, Colorado
Poster
11543
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| Formato: |
2
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