Arbeitspapier

Political Polarization and Expected Economic Outcomes

We use a large-scale representative survey of households from October 19-21 that elicits respondents' expectations about the presidential election's outcome as well as their economic expectations to document several new facts. First, people disagree strongly about the likely outcome of the election, despite widespread publicly available polling information. Most Democrats are very confident in a Biden win while most Republicans are very confident in a Trump win. Second, respondents predict a fairly rosy economic scenario if their preferred candidate wins but a dire one if the other candidate wins. Since most respondents are confident in their favored outcome, unconditional forecasts are similar across parties despite the fact that underlying probability distributions and conditional forecasts are very different. Third, when presented with recent polling data, most voters change their views by little unless they are independent and/or have relatively weak priors about the outcome. Information that emphasizes the uncertainty in polling data has larger effects in terms of reducing polarization in expected probabilities over different electoral outcomes. Fourth, exogenous information that changes individuals' probability distribution over electoral outcomes also changes their unconditional forecasts in a corresponding manner. These changes in economic expectations in turn are likely to affect household economic decisions.

Language
Englisch

Bibliographic citation
Series: IZA Discussion Papers ; No. 13823

Classification
Wirtschaft
Price Level; Inflation; Deflation
Survey Methods; Sampling Methods
Expectations; Speculations
Labor Force and Employment, Size, and Structure
Retirement; Retirement Policies
Subject
elections
political views
COVID-19
expectations
randomized controlled trial
Bayesian learning

Event
Geistige Schöpfung
(who)
Coibion, Olivier
Gorodnichenko, Yuriy
Weber, Michael
Event
Veröffentlichung
(who)
Institute of Labor Economics (IZA)
(where)
Bonn
(when)
2020

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Coibion, Olivier
  • Gorodnichenko, Yuriy
  • Weber, Michael
  • Institute of Labor Economics (IZA)

Time of origin

  • 2020

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