Information flow between prediction markets, polls and media: Evidence from the 2008 presidential primaries
Author
Suggested Citation
DOI: 10.1016/j.ijforecast.2018.04.002
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- Urmee Khan & Robert Lieli, 2017. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201711, University of California at Riverside, Department of Economics.
- Urmee Khan & Robert Lieli, 2016. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201610, University of California at Riverside, Department of Economics.
References listed on IDEAS
- Jacobsen, Ben & Potters, Jan & Schram, Arthur & van Winden, Frans & Wit, Jorgen, 2000.
"(In)accuracy of a European political stock market: The influence of common value structures,"
European Economic Review, Elsevier, vol. 44(2), pages 205-230, February.
- Potters, J.J.M. & Jacobsen, B. & Schram, A. & van Winden, F.A.A.M. & Wit, J., 2000. "(In)accuracy of a European political stockmarket : The influence of common value structures," Other publications TiSEM 871eef99-1e85-4985-9e94-e, Tilburg University, School of Economics and Management.
- Berg, Joyce & Forsythe, Robert & Nelson, Forrest & Rietz, Thomas, 2008. "Results from a Dozen Years of Election Futures Markets Research," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 80, pages 742-751, Elsevier.
- Andrew Leigh & Justin Wolfers, 2006.
"Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets,"
The Economic Record, The Economic Society of Australia, vol. 82(258), pages 325-340, September.
- Andrew Leigh & Justin Wolfers, 2005. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," CEPR Discussion Papers 502, Centre for Economic Policy Research, Research School of Economics, Australian National University.
- Wolfers, Justin & ,, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," CEPR Discussion Papers 5555, C.E.P.R. Discussion Papers.
- Leigh, Andrew & Wolfers, Justin, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," IZA Discussion Papers 1972, Institute of Labor Economics (IZA).
- Andrew Leigh & Justin Wolfers, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," NBER Working Papers 12053, National Bureau of Economic Research, Inc.
- Jonathan B. Hill, 2007.
"Efficient tests of long-run causation in trivariate VAR processes with a rolling window study of the money-income relationship,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 747-765.
- Jonathan B. Hill, 2004. "Efficient Tests of Long-Run Causation in Trivariate VAR Processes with a Rolling Window Study of the Money-Income Relationship," Macroeconomics 0407013, University Library of Munich, Germany, revised 15 Feb 2006.
- Kou, S. G. & Sobel, Michael E., 2004. "Forecasting the Vote: A Theoretical Comparison of Election Markets and Public Opinion Polls," Political Analysis, Cambridge University Press, vol. 12(3), pages 277-295, July.
- Christian Franz Horn & Bjoern Sven Ivens & Michael Ohneberg & Alexander Brem, 2014. "Ideas Markets: Prediction Markets – A literature review 2014," Journal of Prediction Markets, University of Buckingham Press, vol. 8(2), pages 89-126.
- Taamouti, Abderrahim & Bouezmarni, Taoufik & El Ghouch, Anouar, 2014.
"Nonparametric estimation and inference for conditional density based Granger causality measures,"
Journal of Econometrics, Elsevier, vol. 180(2), pages 251-264.
- Taamouti, Abderrahim & Bouezmarni, Taoufik & El Ghouch, Anouar, 2014. "Nonparametric estimation and inference for conditional density based Granger causality measures," LIDAM Reprints ISBA 2014025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Rothschild, David, 2015. "Combining forecasts for elections: Accurate, relevant, and timely," International Journal of Forecasting, Elsevier, vol. 31(3), pages 952-964.
- Justin Wolfers & Eric Zitzewitz, 2004.
"Prediction Markets,"
Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
- Wolfers, Justin & Zitzewitz, Eric, 2004. "Prediction Markets," Research Papers 1854, Stanford University, Graduate School of Business.
- Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," NBER Working Papers 10504, National Bureau of Economic Research, Inc.
- Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Discussion Papers 03-025, Stanford Institute for Economic Policy Research.
- Joyce E. Berg & Thomas A. Rietz, 2003. "Prediction Markets as Decision Support Systems," Information Systems Frontiers, Springer, vol. 5(1), pages 79-93, January.
- Jean-Marie Dufour & Eric Renault, 1998.
"Short Run and Long Run Causality in Time Series: Theory,"
Econometrica, Econometric Society, vol. 66(5), pages 1099-1126, September.
- Dufour, J.M. & Renault, E., 1995. "Short-Run and Long-Rub Causality in Time Series: Theory," Cahiers de recherche 9538, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Dufour, J.M. & Renault, E., 1995. "Short-Run and Long-Rub Causality in Time Series: Theory," Cahiers de recherche 9538, Universite de Montreal, Departement de sciences economiques.
- Steger, Wayne P., 2008. "Forecasting the presidential primary vote: Viability, ideology and momentum," International Journal of Forecasting, Elsevier, vol. 24(2), pages 193-208.
- Lewis-Beck, Michael S. & Skalaban, Andrew, 1989. "Citizen Forecasting: Can Voters See into the Future?," British Journal of Political Science, Cambridge University Press, vol. 19(1), pages 146-153, January.
- Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
- Murr, Andreas E., 2015. "The wisdom of crowds: Applying Condorcet’s jury theorem to forecasting US presidential elections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 916-929.
- Gelman, Andrew & King, Gary, 1993. "Why Are American Presidential Election Campaign Polls So Variable When Votes Are So Predictable?," British Journal of Political Science, Cambridge University Press, vol. 23(4), pages 409-451, October.
- Lewis-Beck, Michael S. & Tien, Charles, 1999. "Voters as forecasters: a micromodel of election prediction," International Journal of Forecasting, Elsevier, vol. 15(2), pages 175-184, April.
- Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
- Geweke, John & Meese, Richard & Dent, Warren, 1983. "Comparing alternative tests of causality in temporal systems : Analytic results and experimental evidence," Journal of Econometrics, Elsevier, vol. 21(2), pages 161-194, February.
- Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
- Georgios Tziralis & Ilias Tatsiopoulos, 2007. "Prediction Markets: An Extended Literature Review," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 75-91, February.
- Berg, Joyce E. & Nelson, Forrest D. & Rietz, Thomas A., 2008. "Prediction market accuracy in the long run," International Journal of Forecasting, Elsevier, vol. 24(2), pages 285-300.
- Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
- Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Urmee Khan & Robert Lieli, 2010. "Information Processing in Prediction Markets: An Empirical Investigation," Working Papers 201426, University of California at Riverside, Department of Economics.
- Jonathan B. Hill, 2005. "Causation Delays and Causal Neutralization up to Three Steps Ahead: The Money-Output Relationship Revisited," Econometrics 0503016, University Library of Munich, Germany, revised 23 Mar 2005.
- Lennart Sjöberg, 2009. "Are all crowds equally wise? a comparison of political election forecasts by experts and the public," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 1-18.
- Yaser Abolghasemi & Stanko Dimitrov, 2021. "Determining the causality between U.S. presidential prediction markets and global financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4534-4556, July.
- Salamaliki, Paraskevi K. & Venetis, Ioannis A., 2013. "Energy consumption and real GDP in G-7: Multi-horizon causality testing in the presence of capital stock," Energy Economics, Elsevier, vol. 39(C), pages 108-121.
- Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
- 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, July.
- Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2016.
"Testing for Granger causality with mixed frequency data,"
Journal of Econometrics, Elsevier, vol. 192(1), pages 207-230.
- Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
- Patrick Buckley & Fergal O’Brien, 0. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
- Bonato, Matteo & Gupta, Rangan & Lau, Chi Keung Marco & Wang, Shixuan, 2020.
"Moments-based spillovers across gold and oil markets,"
Energy Economics, Elsevier, vol. 89(C).
- Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
- 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.
- Renaud Coulomb & Marc Sangnier, 2014. "The Impact of Political Majorities on Firm Value: Do Electoral Promises or Friendship Connections Matter?," AMSE Working Papers 1414, Aix-Marseille School of Economics, France, revised May 2014.
- Renaud Coulomb & Marc Sangnier, 2014. "The Impact of Political Majorities on Firm Value: Do Electoral Promises or Friendship Connections Matter?," Post-Print halshs-00990241, HAL.
- Renaud Coulomb & Marc Sangnier, 2014. "The Impact of Political Majorities on Firm Value: Do Electoral Promises or Friendship Connections Matter?," PSE-Ecole d'économie de Paris (Postprint) halshs-00990241, HAL.
- repec:grz:wpsses:2019-01 is not listed on IDEAS
- Patrick Buckley & Fergal O’Brien, 2017. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 19(3), pages 611-623, June.
- Stephanie-Carolin Grosche, 2014. "What Does Granger Causality Prove? A Critical Examination of the Interpretation of Granger Causality Results on Price Effects of Index Trading in Agricultural Commodity Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 279-302, June.
- Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013.
"Prediction Markets for Economic Forecasting,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 657-687,
Elsevier.
- Wolfers, Justin & Zitzewitz, Eric & Snowberg, Erik, 2012. "Prediction Markets for Economic Forecasting," CEPR Discussion Papers 9059, C.E.P.R. Discussion Papers.
- Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2012. "Prediction Markets for Economic Forecasting," CAMA Working Papers 2012-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2012. "Prediction Markets for Economic Forecasting," CESifo Working Paper Series 3884, CESifo.
- Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2012. "Prediction Markets for Economic Forecasting," IZA Discussion Papers 6720, Institute of Labor Economics (IZA).
- Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2012. "Prediction Markets for Economic Forecasting," NBER Working Papers 18222, National Bureau of Economic Research, Inc.
- Goodell, John W. & McGroarty, Frank & Urquhart, Andrew, 2015. "Political uncertainty and the 2012 US presidential election: A cointegration study of prediction markets, polls and a stand-out expert," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 162-171.
- Robert Reig & Ramona Schoder, 2010. "Forecasting Accuracy: Comparing Prediction Markets And Surveys – An Experimental Study," Journal of Prediction Markets, University of Buckingham Press, vol. 4(3), pages 1-19.
- Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2011.
"Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 275-287, October.
- Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," Cahiers de recherche 0927, CIRPEE.
- Bouezmarni, Taoufik & Rombouts, Jeroen V. K., 2009. "A nonparametric copula based test for conditional independence with applications to granger causality," UC3M Working papers. Economics we093419, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen & TAAMOUTI, Abderrahim, 2009. "A nonparametric copula based test for conditional independence with applications to Granger causality," LIDAM Discussion Papers CORE 2009041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Taoufik Bouezmarni & Jeroen Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," CIRANO Working Papers 2009s-28, CIRANO.
- Reade, J. James & Vaughan Williams, Leighton, 2019. "Polls to probabilities: Comparing prediction markets and opinion polls," International Journal of Forecasting, Elsevier, vol. 35(1), pages 336-350.
- Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
- Stefan Palan & Jürgen Huber & Larissa Senninger, 2020. "Aggregation mechanisms for crowd predictions," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 788-814, September.
More about this item
Keywords
Prediction markets; Opinion polls; Information aggregation; Media coverage; Granger causality;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:34:y:2018:i:4:p:696-710. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.