เปรียบเทียบวิธี

	Discrete Choice Demand Model	Choice Experiment Valuation
สาขาวิชา	เศรษฐศาสตร์	เศรษฐศาสตร์
ตระกูล	Regression model	Process / pipeline
ปีกำเนิด	1995	1974
ผู้ริเริ่ม	Daniel McFadden (logit); Berry, Levinsohn & Pakes (random-coefficients aggregate demand)	Random utility theory (McFadden); applied to valuation by Louviere & Hensher
ประเภท	Characteristics-based discrete-choice model of demand for differentiated products	Attribute-based stated-preference valuation method
แหล่งต้นตำรับ	McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics. Academic Press. ISBN: 9780127761503	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
ชื่อเรียกอื่น	Discrete Choice Demand, Random-Coefficients Logit Demand, BLP Demand Model, Characteristics-Based Demand Model	Discrete Choice Experiment, DCE, Choice-Based Conjoint Valuation, Stated Choice Experiment
ที่เกี่ยวข้อง	3	2
สรุป	Discrete-choice demand models estimate the demand for differentiated products — cars, cereals, computers — by modeling consumers as choosing the single product that maximizes their random utility, where utility depends on the product's observed characteristics and price plus an unobserved quality term and an idiosyncratic taste shock. Aggregating individual choice probabilities yields predicted market shares, which are matched to observed shares to recover preference parameters. The framework spans the simple multinomial and nested logit of McFadden to the Berry-Levinsohn-Pakes (BLP) random-coefficients model that uses aggregate market data, allows flexible substitution, and instruments for price endogeneity.	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.