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Bread and Peace Voting in U.S. Presidential Elections

Citations

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Påvirker samfundsøkonomien amerikanske midtvejsvalg?
    by Peter Kurrild-Klitgaard in Peter Kurrild-Klitgaard on 2009-11-25 21:09:00
  2. Påvirker samfundsøkonomien amerikanske midtvejsvalg?
    by Peter Kurrild-Klitgaard in Punditokraterne on 2009-11-25 23:17:53
  3. Does the local economy influence voters? : A look at state median household income growth
    by ? in FRED blog on 2020-03-02 14:00:00

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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Cited by:

  1. Hans Gersbach & Oriana Ponta, 2017. "Unraveling short- and farsightedness in politics," Public Choice, Springer, vol. 170(3), pages 289-321, March.
  2. Irem Batool & Gernot Sieg, 2009. "Bread and the attrition of power: Economic events and German election results," Public Choice, Springer, vol. 141(1), pages 151-165, October.
  3. Sinha, Pankaj & verma, Kaushal & Biswas, Sumana & Tyagi, Shashank & Gogia, Shaily & Singh, Aakhyat & Kumar, Amit, 2024. "Modeling and forecasting US presidential election 2024," MPRA Paper 122319, University Library of Munich, Germany, revised 08 Oct 2024.
  4. Michael Wallerstein, 2004. "Behavioral Economics and Political Economy," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 30, pages 37-48.
  5. Souren Soumbatiants & Henry Chappell & Eric Johnson, 2006. "Using state polls to forecast U.S. Presidential election outcomes," Public Choice, Springer, vol. 127(1), pages 207-223, April.
  6. Lawrence Kenny & Babak Lotfinia, 2005. "Evidence on the importance of spatial voting models in presidential nominations and elections," Public Choice, Springer, vol. 123(3), pages 439-462, June.
  7. George A. Krause, 2006. "Beyond the Norm," Rationality and Society, , vol. 18(2), pages 157-191, May.
  8. Sijeong Lim & Victor Menaldo & Aseem Prakash, 2015. "Foreign aid, economic globalization, and pollution," Policy Sciences, Springer;Society of Policy Sciences, vol. 48(2), pages 181-205, June.
  9. 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.
  10. Geys, Benny & Vermeir, Jan, 2008. "The political cost of taxation: new evidence from German popularity ratings [Besteuerung und Popularität von Politikern: Neue Ergebnisse für die Deutsche Bundesregierung 1978-2003]," Discussion Papers, Research Unit: Market Processes and Governance SP II 2008-06, WZB Berlin Social Science Center.
  11. Bruno S. Frey & Lasse Steiner, 2012. "Political Economy: Success or Failure?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 6(3), September.
  12. Abramowitz, Alan I., 2008. "It's about time: Forecasting the 2008 presidential election with the time-for-change model," International Journal of Forecasting, Elsevier, vol. 24(2), pages 209-217.
  13. Kurrild-Klitgaard, Peter, 2012. "Too close to call: Growth and the cost of ruling in US presidential elections, with an application to the 2012 election," MPRA Paper 42464, University Library of Munich, Germany.
  14. Parinandi, Srinivas & Hitt, Matthew P., 2018. "How Politics Influences the Energy Pricing Decisions of Elected Public Utilities Commissioners," Energy Policy, Elsevier, vol. 118(C), pages 77-87.
  15. 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.
  16. Zekai Shen & Yiyang Jin & Yuanyuan Dong & Yazhou Liu, 2024. "Economic voting behavior: The peak‐end growth rule," Economics and Politics, Wiley Blackwell, vol. 36(3), pages 1537-1571, November.
  17. Gernot Sieg & Irem Batool, 2012. "Pakistan, Politics and Political Business Cycles," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(2), pages 153-166.
  18. Robert Grafstein, 2009. "The Puzzle of Weak Pocketbook Voting," Journal of Theoretical Politics, , vol. 21(4), pages 451-482, October.
  19. Graefe, Andreas & Küchenhoff, Helmut & Stierle, Veronika & Riedl, Bernhard, 2015. "Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems," International Journal of Forecasting, Elsevier, vol. 31(3), pages 943-951.
  20. Dodge Cahan & Niklas Potrafke, 2021. "The Democrat-Republican presidential growth gap and the partisan balance of the state governments," Public Choice, Springer, vol. 189(3), pages 577-601, December.
  21. Mark Quigley & Jeremy D. Silver, 2022. "Science advocacy in political rhetoric and actions," Environment Systems and Decisions, Springer, vol. 42(3), pages 462-476, September.
  22. Leo Kahane, 2009. "It’s the economy, and then some: modeling the presidential vote with state panel data," Public Choice, Springer, vol. 139(3), pages 343-356, June.
  23. 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.
  24. Benny Geys & Jan Vermeir, 2008. "Taxation and presidential approval: separate effects from tax burden and tax structure turbulence?," Public Choice, Springer, vol. 135(3), pages 301-317, June.
  25. Hibbs, Douglas A., 2007. "The Economy, the War in Iraq and the 2004 Presidential Election," MPRA Paper 15910, University Library of Munich, Germany.
  26. Hibbs, Douglas A., 2010. "The 2010 Midterm Election for the US House of Representatives," MPRA Paper 25918, University Library of Munich, Germany.
  27. Dieter Stiers & Anna Kern, 2021. "Cyclical accountability," Public Choice, Springer, vol. 189(1), pages 31-49, October.
  28. Sinha, Pankaj & Verma, Aniket & Shah, Purav & Singh, Jahnavi & Panwar, Utkarsh, 2020. "Prediction for the 2020 United States Presidential Election using Linear Regression Model," MPRA Paper 103890, University Library of Munich, Germany, revised 20 Oct 2020.
  29. David Walker, 2006. "Predicting presidential election results," Applied Economics, Taylor & Francis Journals, vol. 38(5), pages 483-490.
  30. Pankaj Sinha & Aastha Sharma & Harsh Vardhan Singh, 2012. "Prediction For The 2012 United States Presidential Election Using Multiple Regression Model," Journal of Prediction Markets, University of Buckingham Press, vol. 6(2), pages 77-97.
  31. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.
  32. repec:cup:judgdm:v:15:y:2020:i:5:p:863-880 is not listed on IDEAS
  33. Kang, Seungwoo & Oh, Hee-Seok, 2024. "Forecasting South Korea’s presidential election via multiparty dynamic Bayesian modeling," International Journal of Forecasting, Elsevier, vol. 40(1), pages 124-141.
  34. 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.
  35. Sinha, Pankaj & Verma, Aniket & Shah, Purav & Singh, Jahnavi & Panwar, Utkarsh, 2020. "Prediction for the 2020 United States Presidential Election using Machine Learning Algorithm: Lasso Regression," MPRA Paper 103889, University Library of Munich, Germany, revised 31 Oct 2020.
  36. Montgomery, Jacob M. & Hollenbach, Florian M. & Ward, Michael D., 2015. "Calibrating ensemble forecasting models with sparse data in the social sciences," International Journal of Forecasting, Elsevier, vol. 31(3), pages 930-942.
  37. Graefe, Andreas, 2023. "Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020)," International Journal of Forecasting, Elsevier, vol. 39(1), pages 170-177.
  38. Christian Bachelder Holkeboer & James Raymond Vreeland, 2013. "Calling Democracies and Dictatorships: The Effect of Political Regime on International Long-Distance Rates," Kyklos, Wiley Blackwell, vol. 66(3), pages 417-437, August.
  39. Dennis, Christopher & Medoff, Marshall H. & Magnera, Michael, 2008. "Constituents' economic interests and senator support for spending limitations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(6), pages 2443-2453, December.
  40. Kurrild-Klitgaard, Peter, 2019. "Var det fortsat ”the economy, stupid!” i 2016 og 2018? [Was it still "the economy, stupid!" in 2016 and 2018?]," MPRA Paper 97297, University Library of Munich, Germany.
  41. Richard C. Eichenberg & Richard J. Stoll & Matthew Lebo, 2006. "War President," Journal of Conflict Resolution, Peace Science Society (International), vol. 50(6), pages 783-808, December.
  42. Sinha, Pankaj & Kumar, Amit & Biswas, Sumana & Gupta, Chirag, 2024. "Forecasting US Presidential Election 2024 using multiple machine learning algorithms," MPRA Paper 122490, University Library of Munich, Germany, revised 22 Oct 2024.
  43. Andrew Gelman & Jessica Hullman & Christopher Wlezien & George Elliott Morris, 2020. "Information, incentives, and goals in election forecasts," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(5), pages 863-880, September.
  44. Hibbs Jr., Douglas A., 2004. "Voting and the Macroeconomy," Working Papers in Economics 144, University of Gothenburg, Department of Economics, revised 08 Apr 2006.
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