Quantifying Confidence

Harris Dellas (), Fabrice Collard and George-Marios Angeletos

No 10463, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: We enrich workhorse macroeconomic models with a mechanism that proxies strategic uncertainty and that manifests itself as waves of optimism and pessimism about the short-term economic outlook. We interpret this mechanism as variation in "confidence" and show that it helps account for many salient features of the data; it drives a significant fraction of the volatility in estimated models that allow for multiple structural shocks; it captures a type of fluctuations in "aggregate demand" that does not rest on nominal rigidities; and it calls into question existing interpretations of the observed recessions. We complement these findings with evidence that most of the business cycle in the data is captured by an empirical factor which is unlike certain structural forces that are popular in the literature but similar to the one we formalize here.

Keywords: Business cycles; Strategic uncertainty; Higher-order beliefs; Confidence; Aggregate demand; Coordination failure; Dsge models (search for similar items in EconPapers)
JEL-codes: E32 (search for similar items in EconPapers)
Date: 2015-03
New Economics Papers: this item is included in nep-dge, nep-mac and nep-mfd
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Quantifying Confidence (2018)
Working Paper: Quantifying Confidence (2014)
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