The curiously different inflation perspectives of men and women

By Michael F. Bryan, Guhan Venkatu. 2001

112 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a595f46531e6208a2f1dc3b0237db5c3cfb21206

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Citations in the corpus

Sticky information and model uncertainty in survey data on inflation expectations (2007, methodology): “It should be noted that the predictors are updated each j +1 periods since j = 0 was designated above as full-information.(13) This differs from Mankiw-Reis in that the RHE approach no longer assumes expectations are rational; it imposes that agents ignore information that agents in Mankiw-Reis’ app”
The Role of Media for Inflation Forecast Disagreement of Households and Professionals (2012, unknown): “In particular, results of Souleles (2004) and Bryan and Venkatu (2001) suggest that households may not necessarily have the official inflation rate in mind, but may rather refer to inflation as observed in their private consumption basket.”
Disagreement about Inflation Expectations (2003, unknown): “Bryan and Venkatu (2001) examine a survey of inflation expectations in Ohio from 1998-2001, finding that women, singles, non-whites, high school dropouts and lower income groups tend to have higher inflation expectations than other demographic groups.”
What's Behind "Inflation Perceptions"? A Survey-Based Analysis of Italian Consumers (2008, background): “Although high perceived inflation is a widespread phenomenon, results found in the literature (see in particular Bryan and Cecchetti, 2000, and Bryan and Venkatu, 2001a and 2001b, for the United States, and Jonung, 1981, for Sweden) support the hypothesis that there exist significant differences…”
The impact of the COVID-19 pandemic on business expectations (2021, background): “For households in particular, the differences in their expectations for ‘‘prices in general’’ and the growth rate in the Consumer Price Index (CPI) have been often documented at least as far back as Bryan and Venkatu (2001).”
Learning from Inflation Experiences (2016, methodology): “This is an alternative to sticky information (Mankiw and Reis (2002)), heterogeneity based on gender and demographics (Bryan and Venkatu (2001)), or dispersion as a proxy for uncertainty (Zarnowitz and Lambros (1987), Bomberger (1996), Rich and Tracy (2010), and Bachmann, Elstener, and Sims (2013)).”