Identifying Noise Shocks

Benati, Luca; Chan, Joshua; Eisenstat, Eric; Koop, Gary (March 2018). Identifying Noise Shocks (Discussion Papers 18-07). Bern: Department of Economics

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We make four contributions to the ‘news versus noise’ literature: (I) We provide a new identification scheme which, in population, exactly recovers news and noise shocks. (II) We show that our scheme is not vulnerable to Chahrour and Jurado’s (2018) criticism about the observational equivalence of news and noise shocks, which uniquely holds if the econometrician only observes a fundamental, and agents’ expectations about it. By contrast, we show that observational equivalence breaks down when the econometrician observes macroeconomic variables encoding information about the signal (and therefore about news and noise shocks), because they are chosen by agents conditional
on all information, including the signal itself. (III) We propose a new econometric methodology for implementing our identification scheme, and we show, via a Monte Carlo study, that it has an excellent performance. (IV) We provide several empirical applications of our identification scheme and econometric methodology. Our results uniformly suggest that, contrary to previous findings in the literature, noise shocks play a minor role in macroeconomic fluctuations.

Item Type:

Working Paper

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Economics

UniBE Contributor:

Benati, Luca

Subjects:

300 Social sciences, sociology & anthropology > 330 Economics

Series:

Discussion Papers

Publisher:

Department of Economics

Language:

English

Submitter:

Lars Tschannen

Date Deposited:

31 Aug 2020 16:53

Last Modified:

31 Aug 2020 16:53

BORIS DOI:

10.7892/boris.145856

URI:

https://boris.unibe.ch/id/eprint/145856

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