A contingent grouping approach for stated preferences

Raul Brey, Olvar Bergland, Pere Riera

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

This paper introduces the theoretical and statistical foundations of contingent grouping, a variant of attribute-based stated preference methods, and checks for its implementation difficulty. Respondents are asked to simply group a number of alternatives as better or worse than a baseline or the status quo situation. A Monte Carlo approach shows that it performs statistically better than contingent choice according to the MSE criterion, and worse than contingent ranking, while a case study suggests that contingent grouping is less difficult to answer than contingent ranking. Furthermore, contingent choice shows a greater consistency in preferences with contingent grouping than with contingent ranking. © 2011 Elsevier B.V.
Original languageEnglish
Pages (from-to)745-755
JournalResource and Energy Economics
Volume33
Issue number3
DOIs
Publication statusPublished - 1 Sep 2011

Keywords

  • Choice modeling
  • Cognitive burden
  • Contingent grouping

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