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7 - Models, markets, polls and pundits: a case study of information efficiency

Published online by Cambridge University Press:  09 July 2009

Leighton Vaughan Williams
Affiliation:
Professor of Economics and Finance Nottingham Business School Nottingham Trent University
Leighton Vaughan Williams
Affiliation:
Nottingham Trent University
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Summary

In this chapter, I will offer a brief perspective on alternative methodologies designed to gauge the state of the 2004 US Presidential election race at a given point in time and to forecast the outcome of the race. At the time of final data collection and completion (Tuesday, 5 October 2004) the election is four weeks away. The reader can make some judgement of the relative and absolute merits of the alternative methodologies with the advantage of the actual results to hand.

Section 7.1 considers econometric models and section 7.2 considers polling evidence. Section 7.3 considers the forecasts of a panel of ‘experts’. Section 7.4 examines evidence from the various betting markets. Section 7.5 summarises the findings, and concludes.

Econometric studies

The application of economic indicators to forecast election outcomes can be traced to Kramer (1971) and Stigler (1973) for US congressional election, to Fair (1978) and Hibbs (1982) for US Presidential elections and to Lewis-Beck (1988) and Palmer and Whitten (1999) for elections in other industrialised countries.

A survey of economic models for predicting Australian elections (Wolfers and Leigh, 2002) indicates the importance of including unemployment and inflation as key factors in the forecasting mix, with Jackman and Marks (1994) noting an additional incumbency advantage. Jackman (1995) includes a ‘honeymoon’ effect for novice governments and Cameron and Crosby (2000) the impact of the world wars.

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Publisher: Cambridge University Press
Print publication year: 2005

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References

Abramowitz, A. I. (1988) ‘An Improved Model for Predicting Presidential Election Outcomes’, PS: Political Science and Politics, 21, pp. 843–7Google Scholar
Abramowitz, A. I.(1996) ‘Bill and Al's Excellent Adventure: Forecasting the 1996 Presidential Election’, American Political Quarterly, 24, pp. 434–42CrossRefGoogle Scholar
Abramowitz, A. I.(2001) ‘The Time for Change Model and the 2000 Election’, American Politics Quarterly, 29, pp. 279–82CrossRefGoogle Scholar
Abramowitz, A. I.(2004) ‘When Good Forecasts Go Bad: The Time-for-Change Model and the 2004 Presidential Election’, Unpublished paper, http://morris.wharton.upenn.edu/forecast/Political/PDFs/Abramowitz.pdf
Armstrong, J. S. (2001) ‘Combining Forecasts’, in Aromstrong, J. S. (ed.), Principles of Forecasting: A Handbook for Researchers and Practitioners, Boston: Kluwer Academic, pp. 417–39CrossRefGoogle Scholar
Armstrong, J. S., Jones, R. J. and Cuzan, A. G. (2004) ‘Experts Predict a Very Close Election; Slight Advantage to Kerry’, August 2, unpublished, http://morris.wharton.upenn.edu/forecast/Political/Delphi_experts_prediction.html
Berg, J. and Rietz, T. (2003) ‘Prediction Markets as Decision Support Systems’, Information Systems Frontiers, 5(1), pp. 79–93CrossRefGoogle Scholar
Berg, J., Forsythe, R. and Rietz, T. A. (1996) ‘What Makes Markets Predict Well? Evidence from the Iowa Electronic Markets’, in Albers, W., Guth, W., Hammerstein, P., Moldovanu, B. and Damme, E. (eds.), Understanding Strategic Interaction: Essays in Honor of Reinhard Selten, New York: Springer, pp. 444–63Google Scholar
Berg, J., Forsythe, R., Nelson, F. and Rietz, T. (2001) ‘Results from a Dozen Years of Election Futures Markets Research’, in Plott, C. and Smith, V. (eds.), Handbook of Experimental Economic Results, New York: ElsevierGoogle Scholar
Cameron, L. and Crosby, M. (2000) ‘It's the Economy Stupid: Macroeconomics and Federal Elections in Australia’, Economic Record, 76(235), pp. 354–64CrossRefGoogle Scholar
Campbell, J. (2001) ‘An Evaluation of the Trial-Heat and Economy Forecast of the Presidential Vote in the 2000 Election’, American Politics Research, 29, pp. 289–96CrossRefGoogle Scholar
Campbell, J.(2004) ‘Election Forecast Calculator’, unpublished paper, http://www.libarts. ucok.edu/yc/elect.php
Chen, K. -Y. and C. Plott (2002) ‘Information Aggregation Mechanisms: Concept, Design and Field Implementation for a Sales Forecasting Problem’, Social Science Working Paper, 1131, California Institute of Technology, March
Cuzan, A. G. and Bundrick, C. M. (2004a) ‘Comparing the Time-for-Change and Fiscal Models: A Synthesis?’, Unpublished paper, http://morris.wharton.upenn. edu/forecast/Political/PDFs/CuzanandBundrick_Comparing_the_Time-for-Change.pdf
Cuzan, A. G. and Bundrick, C. M.(2004b) ‘Fiscal Effects on Presidential Elections: A Forecast for 2004’, Paper prepared for presentation at the September meeting of the American Political Science Association, Chicago, 4 September, http://www.uwf.edu/govt/facultyforums/fiscaleffectsprselect2004.pdf
Cuzan, A. G., Heggen, R. J. and Bundrick, C. M. (2003) Voters and Presidents: A Fiscal Model, Philadelphia: XlibrisGoogle Scholar
Fair, R. (1978) ‘The Effect of Economic Events on Votes for President’, Review of Economics and Statistics, 60(2), pp. 159–73CrossRefGoogle Scholar
Fair, R.(2002a) ‘The Effect of Economic Events on Votes for President: 2000 Update, November 1, 2002’, Unpublished paper, http://fairmodel.econ.yale.edu/rayfair/pdf/2002DHTM.HTM
Fair, R.(2002b) Predicting Presidential Elections and Other Things, Stanford: Stanford University PressGoogle Scholar
Fair, R.(2004) ‘Presidential Vote Equation, July 31, 2004’, http://fairmodel.econ.yale.edu/vote2004/vot0704.htm, http://fairmodel.econ.yale.edu/vote2004/computev.htm
Forsythe, R., Rietz, T. and Ross, T. (1999) ‘Wishes, Expectations and Actions: Price Formation in Election Stock Markets’, Journal of Economic Behaviour and Organisation, 39, pp. 83–110CrossRefGoogle Scholar
Hansen, J., Schmidt, C. and Strobel, C. (2004) ‘Manipulation in Political Stock Markets – Preconditions and Evidence’, Applied Economics Letters, 11(7), pp. 459–63CrossRefGoogle Scholar
Hanson, R. D. (1995) ‘Could Gambling Save Science? Encouraging an Honest Consensus’, Social Epistemology, 9(1), pp. 3–33CrossRefGoogle Scholar
Hibbs, D. (1982) ‘The Dynamics of Political Support for American Presidents among Occupational and Partisan Groups’, American Journal of Political Science, 26(2), pp. 312–32CrossRefGoogle Scholar
Hibbs, D.(2000) ‘Bread and Peace Voting in US Presidential Elections’, Public Choice, 104, pp. 149–80CrossRefGoogle Scholar
Hibbs, D.(2004) ‘Implications of the “Bread and Peace Model” of US Presidential Voting for the 2004 Election Outcome’, Unpublished paper, http://www.handels.gu.se/∼econdhib/election2004.htm
Jackman, S. (1995) ‘Some More of All That: A Reply to Charnock’, Australian Journal of Political Science, 30, pp. 347–55CrossRefGoogle Scholar
Jackman, S. and Marks, G. (1994) ‘Forecasting Australian Elections: 1993 and All That’, Australian Journal of Political Science, 29(2), pp. 277–91CrossRefGoogle Scholar
Jones, R. J. Jr. (2002) Who Will Be in the White House? Predicting Presidential Elections, New York: LongmanGoogle Scholar
Jones, R. J., Jr.(2004) ‘You Can Predict the 2004 Presidential Election (Maybe!)’, Unpublished paper, http://morris.wharton.upenn.edu/forecast/Political/PDFs/JonesEssay IndicatorsModels%20_30Mar04_.pdf
Kramer, G. (1971) ‘Short-term Fluctuations in US Voting Behaviour, 1896–1964’, American Political Science Review, 65(1), pp. 131–43CrossRefGoogle Scholar
Leigh, A., Wolfers J. and Zitzewitz, E. (2003) ‘What do Financial Markets Think of the War in Iraq?’, NBER Working Paper, 9587
Levitt, S. (2004) ‘Why Are Gambling Markets Organised So Differently from Financial Markets?’, Economic Journal, 114(495), pp. 223–46CrossRefGoogle Scholar
Lewis-Beck, M. (1988) Economics and Elections: The Major Western Democracies, Ann Arbor: University of Michigan PressGoogle Scholar
Lewis-Beck, M. S. and Tien, C. (2000) ‘The Future in Forecasting: Prospective Presidential Models’, in Campbell, J. E. and Garand, J. C. (eds.) Before the Vote: Forecasting American National Elections, Thousand Oaks, CA: Sage PublicationsGoogle Scholar
Lewis-Beck, M. S. and Tien, C.(2001) ‘Election 2000: How Wrong Was the Forecast?’, American Politics Research, 29, pp. 302–6CrossRefGoogle Scholar
Lewis-Beck, M. S. and Tien, C.(2004) ‘Jobs and the Job of President: A forecast for 2004’, PS: Political Science, 37, pp. 753–8Google Scholar
Linstone, H. A. and Turoff, M. (eds.) (2002) ‘The Delphi Method: Techniques and Applications’, http://www.is.njit.edu/pubs/delphibook/index.html
Midlarsky, M. I. (1984) ‘Political Stability of Two-Party and Multiparty Systems: Probabilistic Bases for the Comparison of Party Systems’, American Political Science Review, 78, pp. 929–51CrossRefGoogle Scholar
Norpoth, H. (1996) ‘Of Time and Candidates. A Forecast for 1996’, American Political Quarterly, 24(4), pp. 443–67CrossRefGoogle Scholar
Norpoth, H.(2001) ‘Primary Colors: A Mixed Blessing for Al Gore’, PS: Political Science & Politics, 34, pp. 45–8Google Scholar
Norpoth, H.(2002) ‘On a Short Leash: Term limits an Economic Voting’, in Dorussen, H. and Taylor, M. (eds.), The Context of Economic Voting, London: Routledge, pp. 121–36CrossRefGoogle Scholar
Norpoth, H.(2004) ‘From Primary to General Election: A Forecast of the Presidential Vote’, Paper prepared for presentation at the 100th Annual Meeting of the American Political Science Association, Chicago, Illinois, 2–5 September, http://morris.wharton.upenn.edu/forecast/Political/PDFs/Norpoth.pdf
Norpoth, H. and Rusk, J. (2003) ‘Wag the Dog: Congressional Elections and Political Change, 1828–2002’, Paper for meeting of the American Political Science Association, Philadelphia, August
Ortner, G. (1998) ‘Forecasting Markets – An Industrial Application’, Technical University of Vienna, mimeo
Palmer, H. and Whitten, G. (1999) ‘The Electoral Impact of Unexpected Inflation and Economic Growth’, British Journal of Political Science, 29, pp. 623–39CrossRefGoogle Scholar
Paton, D. and Williams, L. Vaughan (2005) ‘Forecasting Outcomes in Spread Betting Markets: Can Bettors Use “Quarbs” to Beat the Book?’ Journal of Forecasting, 24(2), pp. 139–54CrossRefGoogle Scholar
Pennock, D. M., Lawrence, S., Giles, C. L. and Nielsen, F. A. (2001) ‘The Real Power of Artificial Markets’, Science, 291, pp. 987–8CrossRefGoogle ScholarPubMed
Plott, C. and Sunder, S. (1988) ‘Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets’, Econometrica, 56, pp. 1085–1118CrossRefGoogle Scholar
Rhode, P. W. and Strumpf, K. S. (2004) ‘Historical Presidential Betting Markets’, Journal of Economic Perspectives, 18(2), pp. 127–41CrossRefGoogle Scholar
Servan-Schreiber, E., Wolfers, J., Pennock, D. and Galebach, B. (2004) ‘Prediction Markets: Does Money Matter?Electronic Markets, 14(3)CrossRefGoogle Scholar
Stigler, G. (1973) ‘General Economic Conditions and National Elections’, American Political Science Review, 63, pp. 160–7Google Scholar
Strumpf, K. (2004) ‘Manipulating the Iowa Political Stock Market’, University of North Carolina, mimeo
Tetlock, P. C. (2004) ‘How Efficient are Information Markets? Evidence from an Online Exchange’, Harvard mimeo
Vaughan Williams, L. (2000) ‘Index Investment Markets and Information Efficiency: Evidence from the UK’, Global Business and Economics Review – Anthology 2000, pp. 24–9Google Scholar
Vaughan Williams, L.(2001) ‘Can Bettors Win? A Perspective on the Economics of Betting’, World Economics, 2(1), pp. 31–48Google Scholar
Vaughan Williams, L.(2004) ‘Decision-Making in Betting Markets’, Significance, 1(3), pp. 109–12CrossRefGoogle Scholar
Wlezien, C. and Erikson, R. S. (2004a) ‘The Fundamentals, the Polls and the Presidential Vote’, PS: Political Science and Politics, 37(4), pp. 747–51Google Scholar
Wlezien, C. and Erikson, R. S.(2004b), ‘An Updated Forecast’, Paper presented at the 100th Annual Meeting of the American Political Science Association, Chicago, 2–5 September, http://morris.wharton.upenn.edu/forecast/Political/APSA_Roudtable.html #Christopher_Wlezien_and_Robert_S._Erikson
Wolfers, J. and Leigh, A. (2002) ‘Three Tools for Forecasting Federal Elections: Lessons from 2001’, Australian Journal of Political Science, 37(2), pp. 223–40CrossRefGoogle Scholar
Wolfers, J. and Zitzewitz, E. (2004) ‘Prediction Markets’, Journal of Economic Perspectives, 18(2), pp. 107–26CrossRefGoogle Scholar

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