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Comment on “Revealing Differences in Willingness to Pay Due to the Dimensionality of Stated Choice Designs: An Initial Assessment”

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  • F. Johnson

Abstract

There are very few studies that quantify the interactions and tradeoffs between statistical and cognitive efficiency in designing stated-choice studies. While a conceptual framework for evaluating cognitive strategies would be desirable, Hensher adopts a strictly empirical approach in this experiment. The success of the study must be evaluated in light of his aggregating attributes rather than controlling the number of attributes, asymmetry in the narrow-range and wide-range attributes, and lack of orthogonality between the number of attributes and number of alternatives. Nevertheless, Hensher challenges uncritical acceptance of any given set of design features and correctly insists that we confirm our experience with rigorous, quantitative experiments. Copyright Springer 2006

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  • F. Johnson, 2006. "Comment on “Revealing Differences in Willingness to Pay Due to the Dimensionality of Stated Choice Designs: An Initial Assessment”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 45-50, May.
  • Handle: RePEc:kap:enreec:v:34:y:2006:i:1:p:45-50
    DOI: 10.1007/s10640-005-3783-x
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    References listed on IDEAS

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    4. Louviere, Jordan J, 2001. "What If Consumer Experiments Impact Variances as Well as Means? Response Variability as a Behavioral Phenomenon," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 506-511, December.
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    Cited by:

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    2. Marjolijn De Wilde & Peter Goos, 2017. "The Implementation of Social Policy: A Factorial Survey Approach," Working Papers 1706, Herman Deleeck Centre for Social Policy, University of Antwerp.

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    More about this item

    Keywords

    choice experiments; experimental design; stated-choice methods; stated preference; transportation economics; C25; C93; R41;
    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
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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