The Main Business Cycle Shock(S). Frequency-Band Estimation of the Number of Dynamic Factors

55 Pages Posted: 24 Nov 2021

See all articles by Marco Avarucci

Marco Avarucci

University of Glasgow, Adam Smith Business School

Maddalena Cavicchioli

Università degli studi di Modena e Reggio Emilia (UNIMORE) - Dipartimento di Economia Marco Biagi di Modena

Mario Forni

Università degli studi di Modena e Reggio Emilia (UNIMORE) - Faculty of Business and Economics; Centre for Economic Policy Research (CEPR)

Paolo Zaffaroni

Imperial College Business School

Multiple version iconThere are 2 versions of this paper

Date Written: November 24, 2021

Abstract

We introduce a novel estimator for the number of common dynamic shocks for large dynamic
factor models. The noticeable feature of our estimator is that it can be applied to single frequencies as well as to given frequency bands, making it extremely suited to disentangle the shocks a acting the macroeconomy at the business cycle frequencies, in the long run, and at any frequency band of interest. We establish consistency of our estimator in large panels and evaluate its nite-sample performance with Monte Carlo simulations. We apply our estimator to the FRED-QD US data set and nd that the US macro economy is driven by two main shocks. One of them has the features of a demand shock and the other of a supply shock. The demand shock
explains most of the cyclical fluctuations of the main macroeconomic aggregates.

Keywords: Generalized Dynamic Factor Models, Number of Dynamic Factors, Frequency Bands, Business Cycle, Permanent Component

JEL Classification: C01, C13, C38.

Suggested Citation

Avarucci, Marco and Cavicchioli, Maddalena and Forni, Mario and Zaffaroni, Paolo, The Main Business Cycle Shock(S). Frequency-Band Estimation of the Number of Dynamic Factors (November 24, 2021). Available at SSRN: https://ssrn.com/abstract=3970658 or http://dx.doi.org/10.2139/ssrn.3970658

Marco Avarucci

University of Glasgow, Adam Smith Business School ( email )

Glasgow, Scotland
United Kingdom

Maddalena Cavicchioli

Università degli studi di Modena e Reggio Emilia (UNIMORE) - Dipartimento di Economia Marco Biagi di Modena ( email )

Via Università 4
Modena, Modena 41121
Italy

Mario Forni

Università degli studi di Modena e Reggio Emilia (UNIMORE) - Faculty of Business and Economics ( email )

Viale Berengario 51
41100 Modena, Modena 41100
Italy
+39 059 205 6852 (Phone)
+39 059 205 6947 (Fax)

Centre for Economic Policy Research (CEPR)

London
United Kingdom

Paolo Zaffaroni (Contact Author)

Imperial College Business School ( email )

South Kensington Campus
Exhibition Road
London SW7 2AZ, SW7 2AZ
United Kingdom

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