| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements
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| Autores: |
Campbell, Danny
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| Data: |
2008-01-14
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| Ano: |
2007
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| Palavras-chave: |
Agri-environment
Discrete choice experiments
Mixed logit
Panel data
Random effects
Willingness to pay
Demand and Price Analysis
Environmental Economics and Policy
C33
C35
Q24
Q51
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| Resumo: |
This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness to pay values for every individual in the sample. This departs from customary approaches in which the willingness to pay estimates are normally expressed as measures of central tendency of an a priori distribution. In a different vein from analysis conducted in previous discrete choice experiment studies, this paper uses random effects models for panel data to identify the determinants of the individual-specific willingness to pay estimates. In comparison with the standard methods used to incorporate individual-specific variables into the analysis of discrete choice experiments, the analytical approach outlined in this paper is shown to add considerably more validity and explanatory power to welfare estimates
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
28713
http://purl.umn.edu/7975
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| Editor: |
AgEcon Search
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| Relação: |
Agricultural Economics Society>81st Annual Conference, April 2-4, 2007, Reading University, UK
Conference Paper
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| Formato: |
24
application/pdf
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