Are all crowds equally wise? a comparison of political election forecasts by experts and the public
Four groups made forecasts of the outcome of the Swedish Parliamentary election in the fall of 2006. They consisted of members of the public, political scientists, journalists writing about domestic politics in Swedish daily newspapers, and journalists who were editing sections of readers' letters in daily newspapers. They estimated, using a 12-step category scale, which percentage of the votes that they believed seven parties would get in the election. Data were then obtained on the outcome of the election, and on the two opinions polls closest in time to it. When median forecasts were compared across groups, it was found that the group from the public was most successful in forecasting the outcome of the election. This was in spite of the fact that the median error made by individual members of that group was about 50% larger than the median error made by members of other groups. The two polls were less efficient than the group from the public and overestimated the span between the incumbent government and the opposition by a factor of 2. The members of the public and journalists showed some wishful thinking in their forecasts. There were large and consistent individual differences in forecasting ability. Men performed better than women, as did those who expressed more interest and knowledge in politics. Copyright © 2008 John Wiley & Sons, Ltd.
Volume (Year): 28 (2009)
Issue (Month): 1 ()
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- 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.
- 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.
- 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, 09.
- Leigh, Andrew & 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.
- 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.
- Leigh, Andrew & Wolfers, Justin, 2006. "Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets," IZA Discussion Papers 1972, Institute for the Study of Labor (IZA).
- Justin Wolfers & Eric Zitzewitz, 2004.
03-025, Stanford Institute for Economic Policy Research.
- Thomas S. Gruca & Joyce E. Berg, 2007. "Public Information Bias and Prediction Market Accuracy," Journal of Prediction Markets, University of Buckingham Press, vol. 1(3), pages 219-231, December.
- 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(01), pages 146-153, January.
- Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
- Donald Granberg & Sören Holmberg, 2002. "A Mass-Elite Comparison of Wishful Thinking," Social Science Quarterly, Southwestern Social Science Association, vol. 83(4), pages 1079-1085.
- Paul W. Rhode & Koleman S. Strumpf, 2004. "Historical Presidential Betting Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 127-141, Spring.
- 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.
- Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
- repec:reg:rpubli:460 is not listed on IDEAS
- Jed D. Christiansen, 2007. "Prediction Markets: Practical Experiments in Small Markets and Behaviours Observed," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 17-41, February.
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