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dc.contributor.authorVolinskiy, Dmitriy L
dc.description.abstractThe dissertation is concerned with practical modelling issues in stated preference non-market valuation applications when undesirable (unintended) e®ects are present. E®ects that are common to valuation studies are described and classi¯ed. Practical approaches and methods to build empirical models in view of unintended e®ects are reviewed and discussed. Three case studies follow up to illustrate the range of possibilities in empirical treatment of unintended e®ects. Case Study I implements a panel mixed logit model to account for respondents' heterogeneity in decision-making rules, a sample selection bias, and \warm glow." Case Study II is dedicated to respondents' rationality in a sequential multiple commodity valuation setting. It develops a stochastic model which is consistent with the axioms of re°exivity, transitivity, and continuity. Case Study III presents a fuzzy logic system as a practical solution to the issue of impossibility of exactly quantifying qualitative categories in commodity description and elicitation format options.
dc.subjectStated preferences
dc.subjectContingent valuation
dc.subjectMixed logit
dc.subjectSequential choice
dc.subjectFuzzy expert systems
dc.titleModelling of unintended effects with panel information in stated preference non-market valuation
dc.title.alternativeapproaches and applications
dc.description.departmentAgricultural Economics
dc.description.majorAgricultural Economics
dc.description.advisorJohn C. Bergstrom
dc.description.committeeJohn C. Bergstrom
dc.description.committeeChristopher M. Cornwell
dc.description.committeeDmitry Vedenov

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