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Forecasting economic decisions under risk: The predictive importance of choice-process data

Author

Listed:
  • Steffen Q. Mueller

    (Chair for Economic Policy, University of Hamburg)

  • Patrick Ring

    (Social and Behavioral Approaches to Global Problems, Kiel Institute for the World Economy)

  • Maria Schmidt

    (Department of Psychology, Kiel University)

Abstract

We investigate various statistical methods for forecasting risky choices and identify important decision predictors. Subjects (n=44) are presented a series of 50/50 gambles that each involves a potential gain and a potential loss, and subjects can choose to either accept or reject a displayed lottery. From this data, we use information on 8800 individual lottery gambles and specify four predictor-sets that include different combinations of input categories: lottery design, socioeconomic characteristics, past gambling behavior, eye-movements, and various psychophysiological measures that are recorded during the first three seconds of lottery-information processing. The results of our forecasting experiment show that choice-process data can effectively be used to forecast risky gambling decisions; however, we find large differences among models’ forecasting capabilities with respect to subjects, predictor-sets, and lottery payoff structures.

Suggested Citation

  • Steffen Q. Mueller & Patrick Ring & Maria Schmidt, 2019. "Forecasting economic decisions under risk: The predictive importance of choice-process data," Working Papers 066, Chair for Economic Policy, University of Hamburg.
  • Handle: RePEc:hce:wpaper:066
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    References listed on IDEAS

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    Cited by:

    1. Maennig, Wolfgang & Wilhelm, Stefan, 2023. "News and noise in crime politics: The role of announcements and risk attitudes," Economic Modelling, Elsevier, vol. 129(C).
    2. Wolfgang Maennig, 2023. "Centralization in National High-Performance Sports Systems: Reasons, Processes, Dimensions, Characteristics, and Open Questions," Working Papers 073, Chair for Economic Policy, University of Hamburg.
    3. Wolfgang Maennig & Stefan Wilhelm, 2023. "Crime Prevention Effects of Data Retention Policies," Working Papers 074, Chair for Economic Policy, University of Hamburg.
    4. Steffen Q. Mueller & Patrick Ring & Maria Schmidt, 2019. "Forecasting economic decisions under risk: The predictive importance of choice-process data," Working Papers 066, Chair for Economic Policy, University of Hamburg.

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    More about this item

    Keywords

    Forecasting; lottery; risk; choice-process tracing; experiments; machine learning; decision theory;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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