Can Calibration Reconcile Stated and Observed Preferences?

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.


Issue Date:
2005-04
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/43735
Published in:
Journal of Agricultural and Applied Economics, Volume 37, Number 1
Page range:
237-248
Total Pages:
10
JEL Codes:
Q51; H41




 Record created 2017-04-01, last modified 2017-08-25

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