Arbeitspapier

Electoral Externalities in Federations - Evidence from German Opinion Polls

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.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 6375

Classification
Wirtschaft
Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Intergovernmental Relations; Federalism; Secession
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Subject
elections
opinion polls
time series
party vote shares
federalism

Event
Geistige Schöpfung
(who)
Frei, Xenia
Langer, Sebastian
Lehmann, Robert
Roesel, Felix
Event
Veröffentlichung
(who)
Center for Economic Studies and ifo Institute (CESifo)
(where)
Munich
(when)
2017

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Frei, Xenia
  • Langer, Sebastian
  • Lehmann, Robert
  • Roesel, Felix
  • Center for Economic Studies and ifo Institute (CESifo)

Time of origin

  • 2017

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