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Information-driven Business Cycles: A Primal Approach

Ryan Chahrour and Robert Ulbricht

No 17-784, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: We develop a methodology to characterize equilibrium in DSGE models, free of parametric restrictions on information. First, we define a “primal” economy in which deviations from full information are captured by wedges in agents' expectations. Then, we provide conditions ensuring some information-structure can implement these wedges. We apply the approach to estimate a business cycle model where firms and households have dispersed information. The estimated model fits the data, attributing the majority of fluctuations to a single shock to households' expectations. The responses are consistent with an implementation in which households become optimistic about local productivities and gradually learn about others' optimism.

Keywords: Business cycles; dispersed information; DSGE models; primal approach; sentiments (search for similar items in EconPapers)
JEL-codes: D84 E32 (search for similar items in EconPapers)
Date: 2017-03, Revised 2017-12
New Economics Papers: this item is included in nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6) Track citations by RSS feed

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Working Paper: Information-driven Business Cycles: A Primal Approach (2018) Downloads
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