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Choice Experiment Valuation×Contingent Valuation Method×
Lĩnh vựcKinh tế họcKinh tế học
HọProcess / pipelineProcess / pipeline
Năm ra đời19741963
Người khởi xướngRandom utility theory (McFadden); applied to valuation by Louviere & HensherRobert K. Davis (early use); methodology codified by the NOAA panel
LoạiAttribute-based stated-preference valuation methodSurvey-based stated-preference valuation method
Công trình gốcMcFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). New York: Academic Press. ISBN: 9780127761503Hanemann, W. M. (1994). Valuing the environment through contingent valuation. Journal of Economic Perspectives, 8(4), 19–43. DOI ↗
Tên gọi khácDiscrete Choice Experiment, DCE, Choice-Based Conjoint Valuation, Stated Choice ExperimentCVM, Stated-Preference Valuation, Willingness-to-Pay Survey, Survey-Based Non-Market Valuation
Liên quan22
Tóm tắtA 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.The contingent valuation method (CVM) is a survey-based stated-preference technique for estimating the economic value people place on goods that are not traded in markets — clean air, an endangered species, a wilderness area, the existence of a natural resource. Respondents are presented with a carefully constructed hypothetical scenario and asked how much they would be willing to pay for a described change in provision; their answers are used to estimate mean or median willingness to pay, including non-use (existence) values that no market reveals.
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