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Attending to the Reasons for Attribute Non-attendance in Choice Experiments

Author

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  • Mohammed Alemu
  • Morten Mørkbak
  • Søren Olsen
  • Carsten Jensen

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. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Mohammed Alemu & Morten Mørkbak & Søren Olsen & Carsten Jensen, 2013. "Attending to the Reasons for Attribute Non-attendance in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 333-359, March.
    • Handle: RePEc:kap:enreec:v:54:y:2013:i:3:p:333-359
    DOI: 10.1007/s10640-012-9597-8
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    More about this item

    Keywords

    Attribute non-attendance; Choice experiment; Error component logit model; Passive bounded rationality; Rationally adaptive behaviour;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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