Comparer des méthodes

	Benefit Transfer Method	Choice Experiment Valuation
Domaine	Économie	Économie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1992	1974
Auteur d'origine	Applied environmental-economics practice (formalized by Boyle & Bergstrom; Rosenberger & Loomis)	Random utility theory (McFadden); applied to valuation by Louviere & Hensher
Type	Secondary valuation: transferring existing estimates to a new policy site	Attribute-based stated-preference valuation method
Source fondatrice	Rosenberger, R. S., & Loomis, J. B. (2003). Benefit transfer. In P. A. Champ, K. J. Boyle, & T. C. Brown (Eds.), A Primer on Nonmarket Valuation. Kluwer/Springer. ISBN: 9780792364986	McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). New York: Academic Press. ISBN: 9780127761503
Alias	Benefit Transfer, Value Transfer, Unit Value Transfer, Benefit Function Transfer	Discrete Choice Experiment, DCE, Choice-Based Conjoint Valuation, Stated Choice Experiment
Apparentées	4	2
Résumé	Benefit transfer is the practice of estimating the economic value of a nonmarket good — clean water, a recreation site, an endangered species, an avoided health risk — at a new 'policy site' by adapting value estimates from one or more existing 'study sites' where primary valuation research was already conducted. Because original contingent-valuation, choice-experiment, or hedonic studies are expensive and slow, analysts facing limited time and budgets transfer existing results, ranging from simply borrowing a single dollar value (unit value transfer) to transplanting an entire estimated valuation function (function transfer) or predicting from a meta-regression of many prior studies.	A choice experiment (discrete choice experiment, DCE) is an attribute-based stated-preference method that values non-market goods by describing them as bundles of characteristics and asking respondents to choose repeatedly among competing alternatives — one of which always carries a cost. Grounded in random utility theory, the choices are modeled with a discrete-choice model whose coefficients reveal the relative value of each attribute, and dividing any attribute's coefficient by the cost coefficient yields its marginal willingness to pay.