Political Polarization and Expected Economic Outcomes

Olivier Coibion, Yuriy Gorodnichenko and Michael Weber

No 28044, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: D72 E0 (search for similar items in EconPapers)
Date: 2020-10
Note: EFG ME POL
References: Add references at CitEc
Citations: View citations in EconPapers (24)

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Related works:
Working Paper: Political Polarization and Expected Economic Outcomes (2020)
Working Paper: Political Polarization and Expected Economic Outcomes (2020)
Working Paper: Political Polarization and Expected Economic Outcomes (2020)
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