• Medientyp: E-Book
  • Titel: Assessing U.S. Aggregate Fluctuations Across Time and Frequencies
  • Beteiligte: Lubik, Thomas [VerfasserIn]; Matthes, Christian [Sonstige Person, Familie und Körperschaft]; Verona, Fabio [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2020]
  • Erschienen in: FRB Richmond Working Paper ; No. 19-6
  • Umfang: 1 Online-Ressource (45 p)
  • Sprache: Englisch
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 2019-02-28 erstellt
  • Beschreibung: We study the behavior of key macroeconomic variables in the time and frequency domain. For this purpose, we decompose U.S. time series into various frequency components. This allows us to identify a set of stylized facts: GDP growth is largely a high-frequency phenomenon whereby inflation and nominal interest rates are characterized largely by low-frequency components. In contrast, unemployment is a medium-term phenomenon. We use these decompositions jointly in a structural VAR where we identify monetary policy shocks using a sign restriction approach. We find that monetary policy shocks affect these key variables in a broadly similar manner across all frequency bands. Finally, we assess the ability of standard DSGE models to replicate these findings. While the models generally capture low-frequency movements via stochastic trends and business-cycle fluctuations through various frictions, they fail at capturing the medium-term cycle
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