Estimating Information Rigidity using Firms’ Survey Data

Cesar Carrera

No 2012-004, Working Papers from Banco Central de Reserva del Perú

Abstract: The slope of the sticky information Phillips curve proposed by Mankiw and Reis (2002) is based on the degree of information rigidity on the part of firms. Carroll (2003) uses an epidemiology model of expectations and finds evidence for the U.S. of a one-year lag in the transmission of information from professional forecasters to households. Using financial institutions‟ and firms‟ survey data from Peru and the model proposed by Carroll, I estimate the degree of information rigidity for the Peruvian economy. This paper also considers heterogeneous responses and explores the cross-sectional dimension of these survey forecasts. I find that the degree of information stickiness is such that it takes between one and three quarters for updating information, a result that is robust to different specifications.

Keywords: Inflation expectations; Heterogeneous expectations; Survey expectations; Epidemiology; Sticky Information (search for similar items in EconPapers)
JEL-codes: C11 C53 C82 D84 E31 (search for similar items in EconPapers)
Date: 2012-01
New Economics Papers: this item is included in nep-cba
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Citations: View citations in EconPapers (8)

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Journal Article: Estimating Information Rigidity Using Firms' Survey Data (2012)
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