Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Management
      • Management Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Management
      • Management Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study

      Ferrini, Silvia; Scarpa, Riccardo
      DOI
       10.1016/j.jeem.2006.10.007
      Link
       www.sciencedirect.com
      Find in your library  
      Citation
      Export citation
      Ferrini, S. & Scarpa, R. (2007). Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study. Journal of Environmental Economics and Management, 53(3), 342-363.
      Permanent Research Commons link: https://hdl.handle.net/10289/1915
      Abstract
      Good practice in experimental design is essential for choice experiments used in nonmarket valuation. We review the practice of experimental design for choice experiments in environmental economics and we compare it with advances in experimental design. We then evaluate the statistical efficiency of four different designs by means of Monte Carlo experiments. Correct and incorrect specifications are investigated with gradually more precise information on the true parameter values. The data generating process (DGP) is based on estimates from data of a real study. Results indicate that D-efficient designs are promising, especially when based on Bayesian algorithms with informative prior. However, if good quality a priori information is lacking, and if there is strong uncertainty about the real DGP—conditions which are quite common in environmental valuation—then practitioners might be better off with shifted designs built from conventional fractional factorial designs for linear models.
      Date
      2007
      Type
      Journal Article
      Publisher
      Academic Press
      Collections
      • Management Papers [1136]
      Show full item record  

      Usage

       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement