Abstract
This paper focuses on behavioural reasons underlying stated attribute non-attendance in choice experiments. In order to identify and incorporate procedures for dealing with heterogeneous attribute processing strategies, we ask respondents follow-up questions regarding their reasons for ignoring attributes. Based on these statements, we conclude that the standard way of assigning a zero impact of ignored attributes on the likelihood is inappropriate. We find that some respondents act in accordance with the passive bounded rationality assumption since they ignore an attribute simply because it does not affect their utility. Excluding these genuine zero preferences, as the standard approach essentially does, might bias results. Other respondents claim to have ignored attributes to simplify choices. However, we find that these respondents have actually not completely ignored attributes. We argue along the rationally adaptive behavioural model that valid preference information may indeed be elicited in these cases, and we illustrate how recoding of non-attendance statements conditional on stated reasons may be a more appropriate solution than the current standard way of taking stated non-attendance into account.
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Abbreviations
- AIC:
-
Akaike’s information criterion
- ASC:
-
Alternative specific constant
- BIC:
-
Bayesian information criterion
- CE:
-
Choice experiment
- ECL:
-
Error component logit
- INA:
-
Inferred non-attendance
- LCM:
-
Latent class model
- LL:
-
Log-likelihood
- MNL:
-
Multinomial logit model
- RPECL:
-
Random parameter error component logit
- RPL:
-
Random parameter logit
- SNA:
-
Stated non-attendance
- WTP:
-
Willingness to pay
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Alemu, M.H., Mørkbak, M.R., Olsen, S.B. et al. Attending to the Reasons for Attribute Non-attendance in Choice Experiments. Environ Resource Econ 54, 333–359 (2013). https://doi.org/10.1007/s10640-012-9597-8
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DOI: https://doi.org/10.1007/s10640-012-9597-8