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A Web-Based Information Market to Support Policy Decision Making

  • Niki Nikolakakou
  • Efthimios BothosEmail author
  • Gregoris Mentzas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9821)

Abstract

Reliable and timely information about current economic and environmental conditions is crucial for policy makers to take decisions and for steering agents’ expectations formation about the state of the economy. While the usefulness of monitoring expectations, opinions and sentiments of economic agents is undoubted, one can argue that existing indices are based on a selected number of surveys and a low monitoring frequency resulting in a partial view of more complex dynamics. In this paper we present a web based tool based on the concept of Information Markets that can be used to aggregate expectations on policy indices and provide accurate and timely information to policy makers and policy modellers.

Keywords

Policy modelling Information markets Predictions of policy indices 

Notes

Acknowledgements

Research reported in this paper is partially funded by the European Commission project SYMPHONY (FP7 grant agreement no.: 611875).

References

  1. 1.
    D’Agostino, A., Schnatz, B.: Survey-based nowcasting of US growth: a real-time forecast comparison over more than 40 years. ECB Working Paper, n. 1455 (2012)Google Scholar
  2. 2.
    Bańbura, M., Rünstler, G.: A look into the factor model black box: publication lags and the role of hard and soft data in forecasting GDP. Int. J. Forecast. 27(2), 333–346 (2011)CrossRefGoogle Scholar
  3. 3.
    Manski, C.F.: Measuring expectations. Econometrica 72(5), 1329–1376 (2004)CrossRefzbMATHGoogle Scholar
  4. 4.
    Giacomini, R.: Economic theory and forecasting: lessons from the literature. Econometrics J. 18(2), 22–41 (2015)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Kranz, T., Teschner, F., Weinhardt, C.: Combining prediction markets and surveys: an experimental study. In: Proceedings of the 22nd European Conference on Information Systems (2014)Google Scholar
  6. 6.
    Spann, M., Skiera, B.: Internet-based virtual stock markets for business forecasting. Manag. Sci. 49(10), 1310–1326 (2003)CrossRefGoogle Scholar
  7. 7.
    Berg, J.E., Rietz, T.A.: Prediction markets as decision support systems. Inf. Syst. Front. 5(1), 79–93 (2003)CrossRefGoogle Scholar
  8. 8.
    De Finetti, B.: Logical foundations and measurement of subjective probability. Acta Psychol. 34, 129–145 (1970)CrossRefGoogle Scholar
  9. 9.
    Malkiel, B.G., Fama, E.F.: Efficient capital markets: a review of theory and empirical work. J. Finan. 25(2), 383–417 (1970)CrossRefGoogle Scholar
  10. 10.
    Abernethy, J., Chen, Y., Vaughan, J.W.: Efficient market making via convex optimization, and a connection to online learning. ACM Trans. Econ. Comput. 1(2), 12 (2013)CrossRefGoogle Scholar
  11. 11.
    Snowberg, E., Wolfers, J., Zitzewitz, E.: Prediction markets for economic forecasting (No. w18222). National Bureau of Economic Research (2012)Google Scholar
  12. 12.
    Hanson, R.: Decision markets for policy advice. In: Patashnik, E., Gerber, A. (eds.) Promoting the General Welfare. Brookings Institution Press, Washington, D.C. (2006)Google Scholar
  13. 13.
    Ledyard, J.: Design of information markets for policy analysis. In: Hahn, R.W., Tecklock, P.C. (eds.) Information Markets: A New Way of Making Decisions. The American Enterprise Institute Press, Washington, DC (2006)Google Scholar
  14. 14.
    Millard, J., Nielsen, M.M., Warren, R., Smith, S., Macintosh, A., Tarabanis, K., Tambouris, E., Panopoulou, E., Efpraxia, D., Parisopoulos, K.: European eParticipation Report (2009)Google Scholar
  15. 15.
    Teschner, F., Stathel, S., Weinhardt, C.: A prediction market for macro-economic variables. In: 2011 44th Hawaii International Conference on System Sciences (HICSS), pp. 1–9 (2011)Google Scholar
  16. 16.
    Hanson, R.: Logarithmic market scoring rules for modular combinatorial information aggregation. J. Prediction Markets 1(1), 3–15 (2007)Google Scholar
  17. 17.
    Berg, H., Proebsting, T.A.: Hanson’s automated market maker. J. Prediction Markets 3(1), 45–59 (2009)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Niki Nikolakakou
    • 1
  • Efthimios Bothos
    • 1
    Email author
  • Gregoris Mentzas
    • 1
  1. 1.Institute of Communications and Computer SystemsNational Technical University of AthensAthensGreece

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