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Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (1)

✍ Scribed by Mandy Ryan


Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
87 KB
Volume
13
Category
Article
ISSN
1057-9230

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✦ Synopsis


Abstract

Lancsar and Savage argue that current methods of deriving welfare estimates, using discrete choice experiments, are inconsistent with random utility and welfare theory. In this paper I show that this not the case. The general formula proposed by Small and Rosen for estimating welfare, which Lancsar and Savage claim should be used, reduces to the method used by health economists for state of the world models. The important question then becomes when are state of the world models, as opposed to multiple alternative models, appropriate? Copyright Β© 2004 John Wiley & Sons, Ltd.


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## Abstract In this response we start by highlighting the key area of agreement between the commentaries and our original paper: if there is uncertainty regarding which alternative will be chosen, in a DCE or in the real world, then the compensating variation as modified for discrete data by Small

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## Abstract Discrete choice experiments (DCEs) are being used increasingly in health economics to elicit preferences for products and programs. The results of such experiments have been used to calculate measures of welfare or more specifically, respondents' β€˜willingness to pay’ (WTP) for products