IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

Citations for "Interpreting the predictions of prediction markets"

by Manski, Charles F.

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as
in new window


  1. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013. "Prediction Markets for Economic Forecasting," Handbook of Economic Forecasting, Elsevier.
  2. Paul J. Healy & Sera Linardi & J. Richard Lowery & John O. Ledyard, 2010. "Prediction Markets: Alternative Mechanisms for Complex Environments with Few Traders," Management Science, INFORMS, vol. 56(11), pages 1977-1996, November.
  3. Boulu-Reshef, Béatrice & Comeig, Irene & Donze, Robert & Weiss, Gregory D., 2016. "Risk aversion in prediction markets: A framed-field experiment," Journal of Business Research, Elsevier, vol. 69(11), pages 5071-5075.
  4. Steven Gjerstad, 2004. "Risk Aversion, Beliefs, and Prediction Market Equilibrium," Microeconomics 0411002, EconWPA.
  5. Wolfers, Justin & Zitzewitz, Eric, 2006. "Prediction Markets in Theory and Practice," CEPR Discussion Papers 5578, C.E.P.R. Discussion Papers.
  6. Cary Deck & David Porter, 2013. "Prediction Markets In The Laboratory," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 589-603, 07.
  7. Werner Antweiler, 2012. "Long-Term Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 6(3), pages 43-61.
  8. repec:hal:journl:dumas-00809694 is not listed on IDEAS
  9. Erik Snowberg & Justin Wolfers, 2010. "Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions?," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 723-746, 08.
  10. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Chapters,in: NBER Macroeconomics Annual 2017, volume 32 National Bureau of Economic Research, Inc.
  11. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
  12. He, Xue-Zhong & Treich, Nicolas, 2012. "Heterogeneous Beliefs and Prediction Market Accuracy," TSE Working Papers 13-394, Toulouse School of Economics (TSE).
  13. Siemroth, Christoph, 2014. "Why prediction markets work : The role of information acquisition and endogenous weighting," Working Papers 14-02, University of Mannheim, Department of Economics.
  14. Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting prediction market prices as probabilities," Working Paper Series 2006-11, Federal Reserve Bank of San Francisco.
  15. Agrawal, Shipra & Megiddo, Nimrod & Armbruster, Benjamin, 2010. "Equilibrium in prediction markets with buyers and sellers," Economics Letters, Elsevier, vol. 109(1), pages 46-49, October.
  16. Ray C. Fair, 2004. "Predicting Electoral College Victory Probabilities from State Probability Data," Cowles Foundation Discussion Papers 1496, Cowles Foundation for Research in Economics, Yale University.
  17. Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 505-536, 05.
  18. Albert N. Link & John T. Scott, 2009. "Private Investor Participation and Commercialization Rates for Government-sponsored Research and Development: Would a Prediction Market Improve the Performance of the SBIR Programme?," Economica, London School of Economics and Political Science, vol. 76(302), pages 264-281, 04.
  19. Karl Schlag & James Tremewan & Joël Weele, 2015. "A penny for your thoughts: a survey of methods for eliciting beliefs," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 457-490, September.
  20. Amalia Di Girolamo & Glenn W. Harrison & Morten I. Lau & J. Todd Swarthout, 2013. "Characterizing Financial and Statistical Literacy," Experimental Economics Center Working Paper Series 2013-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
  21. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, Research Program on Forecasting.
  22. RYan Oprea & David Porter & Chris Hibbert & Robin Hanson & Dorina Tila, 2008. "Can Manipulators Mislead Prediction Market Observers?," Working Papers 08-01, Chapman University, Economic Science Institute.
  23. Ray Fair & Cowles Discussion & Yale Working, 2006. "Interpreting the Predictive Uncertainty of Elections," Yale School of Management Working Papers amz2643, Yale School of Management, revised 01 Aug 2007.
  24. Knight*, Brian, 2007. "Are policy platforms capitalized into equity prices? Evidence from the Bush/Gore 2000 Presidential Election," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 389-409, February.
  25. Victor Tiberius & Christoph Rasche, 2011. "Prognosemärkte," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 21(4), pages 467-472, April.
  26. Serrano-Padial, Ricardo, 2012. "Naive traders and mispricing in prediction markets," Journal of Economic Theory, Elsevier, vol. 147(5), pages 1882-1912.
  27. Mikuláš Gangur & Miroslav Plevný, 2014. "Tools for Consumer Rights Protection in the Prediction of Electronic Virtual Market and Technological Changes," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(36), pages 578-578, May.
  28. M. Keith Chen & Jonathan E. Ingersoll, Jr. & Edward H. Kaplan, 2008. "Modeling a Presidential Prediction Market," Management Science, INFORMS, vol. 54(8), pages 1381-1394, August.
  29. Dorina Tila & David Porter, 2008. "Group Prediction in Information Markets With and Without Trading Information and Price Manipulation Incentives," Working Papers 08-06, Chapman University, Economic Science Institute.
  30. Lionel Page & Robert T. Clemen, 2013. "Do Prediction Markets Produce Well‐Calibrated Probability Forecasts?-super-," Economic Journal, Royal Economic Society, vol. 123(568), pages 491-513, 05.
  31. Yiling Chen & Mike Ruberry & Jennifer Wortman Vaughan, 2012. "Designing Informative Securities," Papers 1210.4837, arXiv.org.
  32. Joyce E. Berg & John Geweke & Thomas A. Rietz, 2010. "Memoirs of an indifferent trader: Estimating forecast distributions from prediction markets," Quantitative Economics, Econometric Society, vol. 1(1), pages 163-186, 07.
  33. Boyle, Glenn & Videbeck, Steen, 2005. "A Primer on Information Markets," Working Paper Series 3853, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
  34. Arnaud Z. Dragicevic, 2017. "Option Fund Market Dynamics for Threshold Public Goods," Dynamic Games and Applications, Springer, vol. 7(1), pages 21-33, March.
  35. Trindade, Andre & Fawaz, Yarine & Casas, Agustin, 2014. "Surprise me if you can: influence of newspaper endorsements in US Presidential elections," UC3M Working papers. Economics we1416, Universidad Carlos III de Madrid. Departamento de Economía.
  36. Giulio Bottazzi & Daniele Giachini, 2016. "Far from the Madding Crowd: Collective Wisdom in Prediction Markets," LEM Papers Series 2016/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  37. Renaud Coulomb & Marc Sangnier, 2014. "The Impact of Political Majorities on Firm Value: Do Electoral Promises or Friendship Connections Matter?," PSE Working Papers halshs-00990241, HAL.
  38. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
  39. Ray C. Fair, 2006. "Interpreting the Predictive Uncertainty of Presidential Elections," Levine's Bibliography 321307000000000427, UCLA Department of Economics.
  40. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
  41. Ray C. Fair, 2006. "Interpreting the Predictive Uncertainty of Elections," Cowles Foundation Discussion Papers 1579, Cowles Foundation for Research in Economics, Yale University, revised May 2007.
  42. Katarína Kálovcová & Andreas Ortmann, 2009. "Understanding the Plott-Wit-Yang Paradox," Journal of Prediction Markets, University of Buckingham Press, vol. 3(3), pages 33-44, December.
  43. Albert N. Link & John T. Scott, 2013. "Private Investor Participation and Commercialization Rates for Government-sponsored Research and Development: Would a Prediction Market Improve the Performance of the SBIR Programme?," Chapters,in: Public Support of Innovation in Entrepreneurial Firms, chapter 11, pages 157-174 Edward Elgar Publishing.
  44. Joachim R. Groeger, 2016. "The Informational Content of the Limit Order Book: An Empirical Study of Prediction Markets," Papers 1609.03471, arXiv.org.
  45. Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
  46. Ray Fair, 2004. "Predicting Electoral College Victory Probabilities from State Probability Data," Yale School of Management Working Papers amz2406, Yale School of Management.
  47. Rajiv Sethi & Jennifer Wortman Vaughan, 2016. "Belief Aggregation with Automated Market Makers," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 155-178, June.
  48. Deck, Cary & Hao, Li & Porter, David, 2015. "Do prediction markets aid defenders in a weak-link contest?," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 248-258.
  49. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
  50. Amos Storkey, 2011. "Machine Learning Markets," Papers 1106.4509, arXiv.org.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.