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Use of data on planned contributions and stated beliefs in the measurement of social preferences

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  • Anna Conte
  • M. Levati

Abstract

In a series of one-shot linear public goods game, we ask subjects to report their contributions, their contribution plans for the next period, and their first-order beliefs about their present and future partner. We estimate subjects’ preferences from plan data by a finite mixture approach and compare the results with those obtained from contribution data. Controlling for beliefs, which incorporate the information about the others’ decisions, we are able to show that plans convey accurate information about subjects’ preferences and, consequently, are good predictors of their future behavior. Copyright Springer Science+Business Media New York 2014

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  • Anna Conte & M. Levati, 2014. "Use of data on planned contributions and stated beliefs in the measurement of social preferences," Theory and Decision, Springer, vol. 76(2), pages 201-223, February.
  • Handle: RePEc:kap:theord:v:76:y:2014:i:2:p:201-223
    DOI: 10.1007/s11238-013-9365-4
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    Cited by:

    1. Anna Conte & M. Vittoria Levati & Natalia Montinari, 2019. "Experience in public goods experiments," Theory and Decision, Springer, vol. 86(1), pages 65-93, February.
    2. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
    3. Anna Conte & Peter Moffatt, 2014. "The econometric modelling of social preferences," Theory and Decision, Springer, vol. 76(1), pages 119-145, January.
    4. Ernst Fehr & Thomas Epper & Julien Senn, 2023. "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," Working Papers 2023-iRisk-07, IESEG School of Management.
    5. Engel, Christoph, 2020. "Estimating heterogeneous reactions to experimental treatments," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 124-147.
    6. Anna Conte & Daniela T. Di Cagno & Emanuela Sciubba, 2015. "Behavioral Patterns In Social Networks," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1331-1349, April.
    7. Carpenter, Jeffrey P. & Robbett, Andrea, 2022. "Measuring Socially Appropriate Social Preferences," IZA Discussion Papers 15590, Institute of Labor Economics (IZA).
    8. Leibbrandt, Andreas & López-Pérez, Raúl & Spiegelman, Eli, 2023. "Reciprocal, but inequality averse as well? Mixed motives for punishment and reward," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 91-116.
    9. Bruhin, Adrian & Janizzi, Kelly & Thöni, Christian, 2020. "Uncovering the heterogeneity behind cross-cultural variation in antisocial punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 291-308.

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    More about this item

    Keywords

    Public goods experiments; Social preferences; Mixture models; C35; C51; C72; H41;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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