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The Multivariate Random Preference Estimatorfor Switching Multiple Price List Data

Author

Listed:
  • Anna Conte

    (Sapienza University of Rome)

  • Peter G Moffatt

    (University of East Anglia)

  • Mary Riddel

    (University of Nevada)

Abstract

The use of Multiple Price Lists to elicit individuals' risk preferences is widespread. To model data collected through this method, we introduce the Multivariate Random Preference (MRP) estimator, specifically designed for the \switching" variant of such lists. This is a new estimation approach that enables us to exploit all available information derived from subjects' switch points in the lists. Monte Carlo simulations show that our estimator is consistent and has good small-sample properties. The estimator is derived for a two-parameter model in a risky context.

Suggested Citation

  • Anna Conte & Peter G Moffatt & Mary Riddel, 2019. "The Multivariate Random Preference Estimatorfor Switching Multiple Price List Data," University of East Anglia School of Economics Working Paper Series 2019-04, School of Economics, University of East Anglia, Norwich, UK..
  • Handle: RePEc:uea:ueaeco:2019_04
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Risk Preference; Monte Carlo Simulations; Importance Sampling;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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