Letters in Spatial and Resource Sciences

, Volume 1, Issue 2, pp 117–126

Assessing the spatial dependence of welfare estimates obtained from discrete choice experiments

  • Danny Campbell
  • Riccardo Scarpa
  • W. George Hutchinson
Original Paper

DOI: 10.1007/s12076-008-0012-6

Cite this article as:
Campbell, D., Scarpa, R. & Hutchinson, W.G. Lett Spat Resour Sci (2008) 1: 117. doi:10.1007/s12076-008-0012-6


We report results from a discrete choice experiment designed to assess the general public’s preferences regarding rural landscape improvements. Using a random parameters logit model to account for unobserved taste heterogeneity, we exploit the panel nature of the dataset to retrieve partworths, or willingness to pay (WTP) values, for every individual in the sample. We subsequently use the Moran’s I test statistic to gauge the spatial dependence of these estimates for a range of spatial extents. We find that WTP estimates are positively spatially autocorrelated, but the degree of homogeneity diminishes as the spatial extent becomes larger before it eventually becomes relatively stable.


Discrete choice experiments Moran’s I Random parameters logit Spatial dependence Willingness to pay 

JEL Classification

C25 Q51 Q53 

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Danny Campbell
    • 1
  • Riccardo Scarpa
    • 2
  • W. George Hutchinson
    • 1
  1. 1.Gibson Institute for Land, Food and EnvironmentQueen’s University BelfastBelfastUK
  2. 2.Economics Department, Waikato Management SchoolUniversity of WaikatoHamiltonNew Zealand

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