Partisan Bias in Inflation Expectations
Klaus Gründler (),
Niklas Potrafke () and
Ruben Seiberlich ()
No 311, ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich
We examine partisan bias in inflation expectations. Our dataset includes inflation expectations of the New York Fed’s Survey of Consumer Expectations over the period June 2013 to June 2018. The results show that inflation expectations were 0.46 per centage points higher in Republican-dominated than in Democratic-dominated US states when Barack Obama was US president. Compared to inflation expectations in Democratic-dominated states, inflation expectations in Republican-dominated states declined by 0.73 percentage points when Donald Trump became president. We employ the Blinder-Oaxaca decomposition method to disentangle the extent to which political ideology and other individual characteristics predict inflation expectations: around 25% of the total difference between inflation expectations in Democratic-dominated versus Republican-dominated states is based on how partisans respond to changes in the White House’s occupant (partisan bias). The results also corroborate the belief that voters’ misperceptions of economic conditions decline when the president belongs to the party that voters support.
Keywords: Inflation expectation; partisan bias; political ideology; voters’ perceptions; Blinder-Oaxaca; US president (search for similar items in EconPapers)
JEL-codes: C13 D72 E31 P44 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cdm, nep-mac, nep-mon and nep-pol
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
Journal Article: Partisan bias in inflation expectations (2021)
Working Paper: Partisan Bias in Inflation Expectations (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ces:ifowps:_311
Access Statistics for this paper
More papers in ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().