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Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why

Scarpa, Riccardo ; Rose, John M

Australian Journal of Agricultural Economics, 2008-09, Vol.52 (3), p.253-282 [Periódico revisado por pares]

Melbourne, Australia: Melbourne, Australia : Blackwell Publishing Asia

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  • Título:
    Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why
  • Autor: Scarpa, Riccardo ; Rose, John M
  • Assuntos: Applied economics ; C-efficiency ; choice experiments ; choice modelling ; Design ; Econometrics ; Economic models ; Economic theory ; Efficiency ; Efficient experimental design ; experimental design ; Market structure ; Measurement ; Productivity ; Public choice ; Random utility theory (RUT) ; Studies ; Valuation ; Willingness to pay ; WTP-efficiency ; WTP-efficiency (Willingness to pay)
  • É parte de: Australian Journal of Agricultural Economics, 2008-09, Vol.52 (3), p.253-282
  • Notas: http://dx.doi.org/10.1111/j.1467-8489.2007.00436.x
    Australian Journal of Agricultural and Resource Economics, v.52, no.3, Sept 2008: (253)-282
    johnr@itls.usyd.edu.au
    University of Sydney, Sydney Australia.
    Riccardo Scarpa (email
    We would like to thank the anonymous reviewers of this journal for useful comments and the financial support of the Waikato Management School competitive funds award.
    rscarpa@mngt.waikato.ac.nz
    University of Waikato, Hamilton, New Zealand and John M. Rose (email
    ObjectType-Article-2
    SourceType-Scholarly Journals-1
    ObjectType-Feature-1
    content type line 23
  • Descrição: We review the basic principles for the evaluation of design efficiency in discrete choice modelling with a focus on efficiency of WTP estimates from the multinomial logit model. The discussion is developed under the realistic assumption that researchers can plausibly define a prior belief on the range of values for the utility coefficients. D-, A-, B-, S- and C-errors are compared as measures of design performance in applied studies and their rationale is discussed. An empirical example based on the generation and comparison of fifteen separate designs from a common set of assumptions illustrates the relevant considerations to the context of non-market valuation, with particular emphasis placed on C-efficiency. Conclusions are drawn for the practice of reporting in non-market valuation and for future work on design research.
  • Editor: Melbourne, Australia: Melbourne, Australia : Blackwell Publishing Asia
  • Idioma: Inglês
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