The Impact Of The Before-After Error Term Correlation On Welfare Measurement In Logit
We consider random utility models with independent and identical type I extreme value distribution of the error terms. To compute the expectation of the compensating variation it is necessary to consider the correlation of the error terms between the state before the price and quality change and the state after. We investigate the impact of the before-after correlation of the error terms on the expectation of the compensating variation. We consider each error term to be correlated between the before state and the after state independently and identically across alternatives. We prove the theoretical property that in the case without income effect the logsum formula holds for any assumption on the before-after correlation. We use numerical evidence to show that in the case with income effect the variability of the expectation of the compensating variation with the assumption on the before-after correlation increases with the size of the income effect.
|Date of creation:||2012|
|Date of revision:||2012|
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- André De Palma & Karim Kilani, 2011.
"Transition choice probabilities and welfare analysis in additive random utility models,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
- André Palma & Karim Kilani, 2011. "Transition choice probabilities and welfare analysis in additive random utility models," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 46(3), pages 427-454, April.
- Laurie Garrow & Tudor Bodea & Misuk Lee, 2010. "Generation of synthetic datasets for discrete choice analysis," Transportation, Springer, vol. 37(2), pages 183-202, March.
- Jara-Díaz, Sergio R. & Videla, Jorge, 1989. "Detection of income effect in mode choice: Theory and application," Transportation Research Part B: Methodological, Elsevier, vol. 23(6), pages 393-400, December.
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