• Medientyp: E-Book
  • Titel: Measuring the Trend Real Interest Rate in a Data-Rich Environment
  • Beteiligte: Fu, Bowen [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, [2020]
  • Umfang: 1 Online-Ressource (36 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3539046
  • Identifikator:
  • Schlagwörter: trend real interest rate ; equilibrium real interest rate ; large Bayesian vector autoregression ; time-varying local mean
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 26, 2020 erstellt
  • Beschreibung: The trend real interest rate plays an important role in monetary policy decision making. Many papers have estimated it. However, the uncertainty surrounding these estimates is substantial. In this paper, we construct a new measure of the trend real interest rate in a data-rich environment using a large time-varying local mean Bayesian autoregression (VAR). This new measure is more precisely estimated and can provide valuable information to policymakers. The ranges of the 95% credible intervals of our proposed estimates are from 1.25% to 1.76%. Using the US data, we find that the trend real interest rate has declined substantially since 1984 and becomes negative after 2012
  • Zugangsstatus: Freier Zugang