(Un)conditional distribution of compensating variation in discrete choice models
For a large class of additive random utility discrete choice models with income effects, we compute the probability distribution of the compensating variation. We show that the cumulative distribution function only depends on the choice probabilities. Our results are used to compute the distribution of equivalent variation. The moments of the compensating variation are a onedimensional integral of the choice probabilities. Using the expected compensating variation, we extend Shephard's Lemma to the probabilistic demand systems. Both conditional and unconditional (on the individual choice) distributions of compensating variation are considered.
|Date of creation:||00 Dec 2003|
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CORE Discussion Papers
1994034, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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