共 6 条
Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certainty
被引:77
|作者:
Beck, Matthew J.
[1
]
Fifer, Simon
[2
]
Rose, John M.
[3
]
机构:
[1] Univ Sydney, Inst Transport & Logist Studies, 378 Abercrombie St, Darlington, NSW 2006, Australia
[2] Community & Patient Preference Res, Suite 112,29 Kiora Rd, Miranda, NSW 2228, Australia
[3] Univ S Australia, Inst Choice, Level 13,140 Arthur St, Sydney, NSW 2060, Australia
关键词:
Hypothetical bias;
Stated preference;
Certainty calibration;
GPS;
Insurance;
Revealed preference;
WILLINGNESS-TO-PAY;
CONTINGENT VALUATION;
TASK COMPLEXITY;
DISCRETE-CHOICE;
EX-ANTE;
SCALE;
UNCERTAINTY;
ACCEPTABILITY;
ELICITATION;
MECHANISMS;
D O I:
10.1016/j.trb.2016.04.004
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Stated choice experiments are a preeminent method for researchers and practitioners who seek to examine the behavior of consumers. However, the extent to which these experiments can replicate real markets continues to be debated in the literature, with particular reference to the potential for biased estimates as a result of the hypothetical nature of such experiments. In this paper, a first in the transportation literature, we compare stated choice responses to revealed preference behavior and examine three methods proposed in the literature for calibrating choice experiments via reported choice certainty. In doing so we provide evidence that the incorrect calibration of responses can produce stated choice results that are more biased than doing nothing at all, however we show that by jointly estimating choice and choice certainty there is a significant reduction in hypothetical bias such that stated choice responses more directly replicate real behavior. (C) 2016 Elsevier Ltd. All rights reserved.
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页码:149 / 167
页数:19
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