Choice Modelling, Non-Use Values and Benefit Transfer

Choice Modelling is a stated preference technique that has been widely used in marketing and transport applications, and has recently been used in several environmental applications, predominantly involving use values. There are several reasons for the interest shown in using choice modelling for non-market valuation. First, choice modelling has the potential to provide much greater information about people’s preferences than contingent valuation. Second, choice modelling appears to be particularly suited to benefit transfer because of its capacity to allow for differences in environmental improvements when transferring benefit estimates. Third, some proponents contend that choice modelling may be less prone to several of the biases that affect the contingent validity of using choice modelling to estimate non-use values, and for benefit transfer. It is found that choice modelling is also shown to be more suited to benefit transfer, particularly transfer of implicit prices.

[1]  Gregory L. Poe,et al.  Implementing the Convolutions Approach: A Companion to "Measuring the Difference (X-Y) of Simulated Distributions: A Convolutions Approach" , 1994 .

[2]  Jeffrey Bennett,et al.  Valuing improved wetland quality using choice modeling , 1999 .

[3]  K. Lancaster A New Approach to Consumer Theory , 1966, Journal of Political Economy.

[4]  Russell Blamey,et al.  Choice Modeling and Tests of Benefit Transfer , 2002 .

[5]  Guy Garrod,et al.  The non-use benefits of enhancing forest biodiversity: A contingent ranking study , 1997 .

[6]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .

[7]  J. Bennett The contingent valuation method : a post-Kakadu assessment. by Jeff Bennett , 1996 .

[8]  Jordan J. Louviere,et al.  A comparison of stated preference methods for environmental valuation , 1996 .

[9]  Jordan J. Louviere,et al.  Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data , 1983 .

[10]  I. Krinsky,et al.  On Approximating the Statistical Properties of Elasticities , 1986 .

[11]  Kevin J. Boyle,et al.  Using Conjoint Analysis to Derive Estimates of Compensating Variation , 1996 .

[12]  Richard T. Carson,et al.  The Relationship between the Income Elasticities of Demand and Willingness to Pay , 1997 .

[13]  Jordan J. Louviere,et al.  A sequential approach to exploiting the combined strengths of SP and RP data: Application to freight shipper choice , 1994 .

[14]  Robert Cameron Mitchell,et al.  Using Surveys to Value Public Goods: The Contingent Valuation Method , 1989 .

[15]  N. Hanley,et al.  Using Choice Experiments to Value the Environment , 1998 .

[16]  J. Louviere,et al.  Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities , 1994 .

[17]  J. Bennett,et al.  PROSPECTS FOR CONTINGENT VALUATION: LESSONS FROM THE SOUTH‐EAST FORESTS , 1993 .

[18]  Jordan J. Louviere,et al.  VALIDATION OF A CHOICE MODEL INVOLVING GREEN PRODUCT CHOICE , 1999 .