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What Will Be the Impact of Fintech on the Payment System? A Perspective from Money Creation

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  • Hajime Tomura

    (Waseda University)

Abstract

This study investigates whether revealing others' actions canreduce polarization in the decontextualized settings of laboratory experiments. Despite wealth of studies on polarization, it has not been examined rigorously with varying treatments in laboratory settings. Theoretically, if people can infer others' private information through their actions, polarization should reduce for a policy that has common interests. To this end, we have conducted a novel laboratory experiment with a set of treatments theoretically derived. Our experiments show the following implications. First, when others' actions were revealed only once, polarization reduced in the short run, but increased in the long run. Second, when others' actions were revealed in all rounds, polarization reduced and almost disappeared. However, if participants thought that others had insufficient information, polarization persisted—even when others' actions were revealed in all rounds. In addition, a reduction in polarization is not necessary to increase participants' welfare since they may converge in the wrong direction. We apply our findings to real-world political issues including COVID-19 vaccination and cross-cutting views on social media and extend our discussions.

Suggested Citation

  • Hajime Tomura, 2022. "What Will Be the Impact of Fintech on the Payment System? A Perspective from Money Creation," Working Papers 2205, Waseda University, Faculty of Political Science and Economics.
    • Handle: RePEc:wap:wpaper:2205
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    References listed on IDEAS

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    1. Markus Noth & Martin Weber, 2003. "Information Aggregation with Random Ordering: Cascades and Overconfidence," Economic Journal, Royal Economic Society, vol. 113(484), pages 166-189, January.
    2. Péter Kondor, 2012. "The More We Know about the Fundamental, the Less We Agree on the Price," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1175-1207.
    3. McLeay, Michael & Radia, Amar & Thomas, Ryland, 2014. "Money creation in the modern economy," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 14-27.
    4. Radnitz, Scott & Underwood, Patrick, 2017. "Is Belief in Conspiracy Theories Pathological? A Survey Experiment on the Cognitive Roots of Extreme Suspicion," British Journal of Political Science, Cambridge University Press, vol. 47(1), pages 113-129, January.
    5. Georg Weizsacker, 2010. "Do We Follow Others When We Should? A Simple Test of Rational Expectations," American Economic Review, American Economic Association, vol. 100(5), pages 2340-2360, December.
    6. Roland G FryerJr & Philipp Harms & Matthew O Jackson, 2019. "Updating Beliefs when Evidence is Open to Interpretation: Implications for Bias and Polarization," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1470-1501.
    7. Christopher A. Bail & Lisa P. Argyle & Taylor W. Brown & John P. Bumpus & Haohan Chen & M. B. Fallin Hunzaker & Jaemin Lee & Marcus Mann & Friedolin Merhout & Alexander Volfovsky, 2018. "Exposure to opposing views on social media can increase political polarization," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(37), pages 9216-9221, September.
    8. Yphtach Lelkes & Gaurav Sood & Shanto Iyengar, 2017. "The Hostile Audience: The Effect of Access to Broadband Internet on Partisan Affect," American Journal of Political Science, John Wiley & Sons, vol. 61(1), pages 5-20, January.
    9. Jean-Pierre Benoît & Juan Dubra, 2018. "When do populations polarize? An explanation," Documentos de Trabajo/Working Papers 1801, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    10. Georgy Egorov, 2015. "Single-Issue Campaigns and Multidimensional Politics," NBER Working Papers 21265, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    belief polarization; laboratory experiments; asymmetric information;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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