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A Pseudo-Sequential Choice Model for Valuing Multiple Environmental Policy or Program Components in Contingent Valuation Applications AgEcon
Volinskiy, Dmitriy; Bergstrom, John C.; Cornwell, Christopher M..
The study proposes a discrete-choice model for environmental policy/program valuation, to be used in cases when several policies are valued sequentially. The stochastic specification of the model is consistent with the transitivity and continuity axioms of utility analysis. An empirical methodology for the model is suggested. An application of this model to WTP estimation for Little Tennessee River watershed ecosystem restoration is provided. Findings from the application agree with the hypothesized agent's behavior.
Tipo: Conference Paper or Presentation Palavras-chave: Environmental Economics and Policy.
Ano: 2005 URL: http://purl.umn.edu/19109
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A Pseudo-Sequential Choice Model for Valuing Multi-Attribute Environmental Policies or Programs in Contingent Valuation Applications AgEcon
Volinskiy, Dmitriy; Bergstrom, John C.; Cornwell, Christopher M.; Holmes, Thomas P..
The assumption of independence of irrelevant alternatives in a sequential contingent valuation format should be questioned. Statistically, most valuation studies treat nonindependence as a consequence of unobserved individual effects. Another approach is to consider an inferential process in which any particular choice is part of a general choosing strategy of a survey respondent. A stochastic model is suggested, consistent with the reflexivity, transitivity, and continuity axioms of utility analysis. An application of this theoretical model to the valuation of watershed ecosystem restoration demonstrates that an empirical model recognizing reflexivity and transitivity, and also allowing for continuity, shows the highest in-sample predictive ability.
Tipo: Journal Article Palavras-chave: Contingent valuation; Sequential choices; Modeling approaches; Watershed ecosystem service valuation; Environmental Economics and Policy.
Ano: 2010 URL: http://purl.umn.edu/59325
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