In this paper we propose novel techniques for the empirical analysis of adaptive learning and sticky information in inflation expectations. These methodologies are applied to the distribution of households' inflation expectations collected by the University of Michigan Survey Research Center. To account for the evolution of the cross-section of inflation forecasts over time and measure the degree of heterogeneity in private agents' forecasts, we explore time series of percentiles from the empirical distribution. Our results show that heterogeneity is pervasive in the process of inflation expectation formation. We identify three regions of the distribution that correspond to different underlying mechanisms of expectation formation: a static or highly autoregressive region on the left hand side of the median, a nearly rational 6 We would like to thank the Editor, two anonymous referees, Sean Holly, Seppo Honkapohja, Hashem Pesaran, Cars Hommes, Tiago Cavalcanti, Domenico Delli Gatti, Chryssi Giannitsarou, Steffan Ball, Jagjit Chada, Daniele Massacci, Linda Rousova and seminar participants at Keele University, Cambridge Univer- JEL: E31; C53; D80;
This paper examines the nexus between news coverage on inflation and households’ inflation expectations. In doing so, we test the epidemiological foundations of the sticky information model (Carroll ). We use both aggregate and household‐level data from the Survey Research Center at the University of Michigan. We highlight a fundamental disconnection among news on inflation, consumers’ frequency of expectation updating, and the accuracy of their expectations. Our evidence provides at best weak support to the epidemiological framework, as most of the consumers who update their expectations do not revise them toward professional forecasters’ mean forecast.
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This paper studies consumers' inflation expectations using micro-level data from the University of Michigan's Surveys of Consumers. It shows that beyond the well-established socioeconomic factors such as income, age, or gender, inflation expectations are also related to respondents' financial situation, their purchasing attitudes, and their expectations about the macroeconomy. Respondents with current or expected financial difficulties and those with pessimistic attitudes about major purchases, income developments, or unemployment have a stronger upward bias than other households. However, their bias shrinks by more than that of the average household in response to increasing media reporting about inflation.
In this paper we analyze whether central bank communication can facilitate the understanding of key economic concepts. Using survey data for consumers and professionals, we calculate how many of them have expectations consistent with the Fisher Equation, the Taylor rule and the Phillips curve and test, by accounting for three different communication channels, whether central banks can influence those. A substantial share of participants has expectations consistent with the Fisher equation, followed by the Taylor rule and the Phillips curve. We show that having theory-consistent expectations is beneficial, as it improves the forecast accuracy. Furthermore, consistency is time varying. Exploring this time variation, we provide evidence that central bank communication as well as news on monetary policy can facilitate the understanding of those concepts and thereby improve the efficacy of monetary policy.
In this paper we analyze whether central bank communication can facilitate the understanding of key economic concepts. Using survey data for consumers and professionals, we calculate how many of them have expectations consistent with the Fisher Equation, the Taylor rule and the Phillips curve and test, by accounting for three different communication channels, whether central banks can influence those. A substantial share of participants has expectations consistent with the Fisher equation, followed by the Taylor rule and the Phillips curve. We show that having theory-consistent expectations is beneficial, as it improves the forecast accuracy. Furthermore, consistency is time varying. Exploring this time variation, we provide evidence that central bank communication as well as news on monetary policy can facilitate the understanding of those concepts and thereby improve the efficacy of monetary policy.
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