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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. 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.
  5. 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.
  6. Michael Wallerstein, 2004. "Behavioral Economics and Political Economy," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 30, pages 37-48.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. David Walker, 2006. "Predicting presidential election results," Applied Economics, Taylor & Francis Journals, vol. 38(5), pages 483-490.
  13. Hibbs, Douglas A., 2007. "The Economy, the War in Iraq and the 2004 Presidential Election," MPRA Paper 15910, University Library of Munich, Germany.
  14. 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.
  15. 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.
  16. 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.
  17. George A. Krause, 2006. "Beyond the Norm," Rationality and Society, , vol. 18(2), pages 157-191, May.
  18. 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.
  19. 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.
  20. Hibbs, Douglas A., 2010. "The 2010 Midterm Election for the US House of Representatives," MPRA Paper 25918, University Library of Munich, Germany.
  21. 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.
  22. 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.
  23. 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.
  24. Dieter Stiers & Anna Kern, 2021. "Cyclical accountability," Public Choice, Springer, vol. 189(1), pages 31-49, October.
  25. 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.
  26. repec:cup:judgdm:v:15:y:2020:i:5:p:863-880 is not listed on IDEAS
  27. 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.
  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. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. Hibbs Jr., Douglas A., 2004. "Voting and the Macroeconomy," Working Papers in Economics 144, University of Gothenburg, Department of Economics, revised 08 Apr 2006.
  41. 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.
  42. Robert Grafstein, 2009. "The Puzzle of Weak Pocketbook Voting," Journal of Theoretical Politics, , vol. 21(4), pages 451-482, October.
  43. 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.
  44. 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.
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