Prediction For The 2012 United States Presidential Election Using Multiple Regression Model
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- Sinha, Pankaj & Sharma, Aastha & Singh, Harsh Vardhan, 2012. "Prediction for the 2012 United States Presidential Election using Multiple Regression Model," MPRA Paper 41486, University Library of Munich, Germany.
References listed on IDEAS
- Lichtman, Allan J., 2008. "The keys to the white house: An index forecast for 2008," International Journal of Forecasting, Elsevier, vol. 24(2), pages 301-309.
- Hibbs, Douglas A, Jr, 2000.
"Bread and Peace Voting in U.S. Presidential Elections,"
Springer, vol. 104(1-2), pages 149-180, July.
- Douglas Hibbs, 2000. "Bread and Peace Voting in U.S. Presidential Elections," Public Choice, Springer, vol. 104(1), pages 149-180, July.
- Hibbs Jr., Douglas A., 2000. "Bread and Peace Voting in U.S. Presidential Elections," Working Papers in Economics 20, University of Gothenburg, Department of Economics.
- Fair, Ray C, 1978.
"The Effect of Economic Events on Votes for President,"
The Review of Economics and Statistics,
MIT Press, vol. 60(2), pages 159-173, May.
- Ray C. Fair, 1976. "The Effects of Economic Events on Votes for President," Cowles Foundation Discussion Papers 418, Cowles Foundation for Research in Economics, Yale University.
- Pankaj Sinha & Ashok K. Bansal, 2008.
"Hierarchical Bayes Prediction for the 2008 US Presidential Election,"
Journal of Prediction Markets,
University of Buckingham Press, vol. 2(3), pages 47-59, December.
- Sinha, Pankaj & Bansal, Ashok, 2008. "Hierarchical Bayes prediction for the 2008 US Presidential election," MPRA Paper 10470, University Library of Munich, Germany.
- repec:cup:apsrev:v:69:y:1975:i:03:p:812-826_24 is not listed on IDEAS
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Sinha, Pankaj & Singhal, Anushree & Sondhi, Kriti, 2012. "Economic scenario of United States of America before and after 2012 U.S. Presidential Election," MPRA Paper 41886, University Library of Munich, Germany.
- Sinha, Pankaj & Srinivas, Sandeep & Paul, Anik & Chaudhari, Gunjan, 2016. "Forecasting 2016 US Presidential Elections Using Factor Analysis and Regression Model," MPRA Paper 74618, University Library of Munich, Germany, revised 17 Oct 2016.
- Sinha, Pankaj & Nagarnaik, Ankit & Raj, Kislay & Suman, Vineeta, 2016. "Forecasting United States Presidential election 2016 using multiple regression models," MPRA Paper 74641, University Library of Munich, Germany, revised 17 Oct 2016.
- Sinha, Pankaj & Thomas, Ashley Rose & Ranjan, Varun, 2012. "Forecasting 2012 United States Presidential election using Factor Analysis, Logit and Probit Models," MPRA Paper 42062, University Library of Munich, Germany.
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- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
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