Hypothetical bias is a pervasive problem in stated-preference experiments. Recent research has developed two empirically successful calibrations to remove hypothetical bias, though the calibrations have not been tested using the same data or in a conjoint analysis. This study compares the two calibrations in a conjoint analysis involving donations to a public good. Results find the calibrations are biased predictors of true donations but that calibrated and uncalibrated models together provide upper and lower bounds to true donations.
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书目信息
出版者
American Association for the Advancement of Science
其它主题
Public services and goods; Observed preferences; Stated preferences; Donations; Economics and management; Distribution and marketing of agricultural products; Hypothetical bias; And education
语言
英语
类型
Journal Article; Text
2024-02-28
2026-02-03
MODS