Arbeitspapier

Biased forecasts to affect voting decisions? The Brexit case

This paper introduces macroeconomic forecasters as political agents and suggests that they use their forecasts to influence voting outcomes. We develop a probabilistic voting model in which voters do not have complete information about the future states of the economy and have to rely on macroeconomic forecasters. The model predicts that it is optimal for forecasters with economic interest (stakes) and influence to publish biased forecasts prior to a referendum. We test our theory using high-frequency data at the forecaster level surrounding the Brexit referendum. The results show that forecasters with stakes and influence released much more pessimistic estimates for GDP growth in the following year than other forecasters. Actual GDP growth rate in 2017 shows that forecasters with stakes and influence were also more incorrect than other institutions and the propaganda bias explains up to 50 percent of their forecast error.

Sprache
Englisch

Erschienen in
Series: Sveriges Riksbank Working Paper Series ; No. 364

Klassifikation
Wirtschaft
Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Asymmetric and Private Information; Mechanism Design
Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
Fiscal Policies and Behavior of Economic Agents: General
Thema
Brexit
Interest Groups
Forecasters Behavior
Voting

Ereignis
Geistige Schöpfung
(wer)
Cipullo, Davide
Reslow, André
Ereignis
Veröffentlichung
(wer)
Sveriges Riksbank
(wo)
Stockholm
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Cipullo, Davide
  • Reslow, André
  • Sveriges Riksbank

Entstanden

  • 2019

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