2005
DOI: 10.1111/0034-6527.00324
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Compensating Variation and Hicksian Choice Probabilities in Random Utility Models that are Nonlinear in Income

Abstract: Abstract:In this paper we discuss Hicksian demand and compensating variation in the context of discrete choice. We first derive Hicksian choice probabilities and the distribution of the (random) expenditure function in the general case when the utilities are nonlinear in income. We subsequently derive exact and simple formulae for the expenditure and choice probabilities under price (policy) changes conditional on the initial utility level. This is of particular interest for welfare measurement because it enab… Show more

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Cited by 86 publications
(79 citation statements)
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References 23 publications
(28 reference statements)
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“…More formally, and with particular reference to the presentation of Dagsvik and Karlström (2005), the log sum method derives from an equality established between the maximal utilities that arise before and after a price change, wherein the utilities are of the form (12). To illustrate, let us consider the same price increase as before, that is an increase in the price of alternative , such that where…”
Section: Consumer Surplus Changementioning
confidence: 99%
“…More formally, and with particular reference to the presentation of Dagsvik and Karlström (2005), the log sum method derives from an equality established between the maximal utilities that arise before and after a price change, wherein the utilities are of the form (12). To illustrate, let us consider the same price increase as before, that is an increase in the price of alternative , such that where…”
Section: Consumer Surplus Changementioning
confidence: 99%
“…While computing such welfare measures is straightforward with income effects off, it has been shown to be a particularly cumbersome task in discrete choice settings allowing for income effects. For a complete discussion of the issue see Herriges and Kling (1999), as well as Dagsvik and Karlström (2005).…”
Section: Government and Public Budgetmentioning
confidence: 99%
“…In particular, in the model with income e↵ects the simple formula for compensating variation from Small and Rosen (1981) is not valid and to compute compensating variation one must use either the simulation methods introduced in McFadden (1999) or Dagsvik and Karlström (2005). Recently Bhattacharya (2015) has shown how to estimate the marginal distribution of compensating variation non-parametrically when interest centers on the impact of a change in the price of a single good.…”
Section: Introductionmentioning
confidence: 99%
“…More recently Dagsvik and Karlström (2005) have exploited duality results applied to random utility models to characterize the distribution of cv for general random utility models. Using their methods, computation of compensating variation reduces to repeated computation of a one dimensional integral.…”
mentioning
confidence: 99%