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Stated preference methods using R

Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people's preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R functions and packages as well as those prepared by the authors. It focuses on core SP methods, including contingent valuation (CV), discrete choice experiments (DCEs), and best-worst scaling (BWS). Several example data sets illustrate empirical.

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  • "Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people's preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R functions and packages as well as those prepared by the authors. It focuses on core SP methods, including contingent valuation (CV), discrete choice experiments (DCEs), and best-worst scaling (BWS). Several example data sets illustrate empirical."@en
  • "Introduction Stated preference methods and the role of R Objective of this book Overview of CV, DCEs, and BWS Random utility theory and discrete choice models Summary of the rest of this book Contingent Valuation Introduction Overview of contingent valuation An R package for analyzing SBDC and DBDC CV data Parametric estimation of WTP Nonparametric estimation of WTP Concluding remarks Discrete Choice Experiments Introduction Overview of DCEs R functions for DCEs Example DCEs using R Concluding remarks Best-Worst ScalingIntroductionOutline of BWS R functions for BWS Example BWS using R Concludi..."

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  • "Electronic books"
  • "Electronic books"@en

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  • "Stated preference methods using R"@en
  • "Stated preference methods using R"
  • "Stated Preference Methods Using R"