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Transition choice probabilities and welfare analysis in random utility models with imperfect before–after correlation

  • Delle Site, Paolo
  • Salucci, Marco Valerio

Welfare in random utility models is used to be analysed on the basis of only the expectation of the compensating variation. De Palma and Kilani (De Palma, A., Kilani, K., 2011. Transition choice probabilities and welfare analysis in additive random utility models. Economic Theory 46(3), 427–454) have developed a framework for conditional welfare analysis which provides analytic expressions of transition choice probabilities and associated welfare measures. The contribution is of practical relevance in transportation because it allows to compute shares of shifters and non-shifters and attribute benefits to them in a rigorous way. In De Palma and Kilani (2011) the usual assumption of unchanged random terms before and after is made.

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Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 58 (2013)
Issue (Month): C ()
Pages: 215-242

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Handle: RePEc:eee:transb:v:58:y:2013:i:c:p:215-242
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  1. von Haefen, Roger H., 2000. "Incorporating Observed Choice In The Construction Of Welfare Measures From Random Utility Models," 2000 Annual meeting, July 30-August 2, Tampa, FL 21836, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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  12. André Palma & Karim Kilani, 2011. "Transition choice probabilities and welfare analysis in additive random utility models," Economic Theory, Springer, vol. 46(3), pages 427-454, April.
  13. de Jong, Gerard & Daly, Andrew & Pieters, Marits & van der Hoorn, Toon, 2007. "The logsum as an evaluation measure: Review of the literature and new results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 874-889, November.
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