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Electoral Externalities in Federations - Evidence from German Opinion Polls

Listed author(s):
  • Xenia Frei

    ()

  • Sebastian Langer
  • Robert Lehmann

    ()

  • Felix Roesel

Party performance in state and federal elections is highly interdependent. Federal elections impact regional voting dynamics and vice versa (electoral externalities). We quantify the extent of simultaneous electoral externalities between two layers of government. We apply vector autoregressions with predetermined variables to unique opinion poll data for the German state of Berlin and the federal level in Germany. State voting intentions for the state and for the federal parliament are the endogenous variables; the federal election trend is treated as predetermined. Our results suggest that shocks in federal parliament voting intention impact state parliament voting intention, but – as a new finding – to the same extent also vice versa. Externalities account for around 10% to 30% of variation at the other level of government. The effects differ across parties. Electoral externalities are less pronounced for the conservative party, but increase in times of government. The opposite holds true for left-wing parties.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2017/wp-cesifo-2017-02/cesifo1_wp6375.pdf
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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 6375.

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Date of creation: 2017
Handle: RePEc:ces:ceswps:_6375
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  1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Micha Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1078-1130, November.
  2. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
  3. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
  4. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2015. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," Working Papers 1340, Queen's University, Department of Economics.
  5. David Byers & James Davidson & David Peel, 1997. "Modelling Political Popularity: an Analysis of Long-range Dependence in Opinion Poll Series," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 471-490.
  6. Niklas Potrafke, 2016. "Partisan Politics: The Empirical Evidence from OECD Panel Studies," CESifo Working Paper Series 6024, CESifo Group Munich.
  7. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
  8. Laura Mayoral & Juan J. Dolado & Jesús Gonzalo, 2003. "Long-range dependence in Spanish political opinion poll series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 137-155.
  9. Lee, Kiseok & Ni, Shawn, 2002. "On the dynamic effects of oil price shocks: a study using industry level data," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 823-852, May.
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