Arbeitspapier

Streamlining time-varying VAR with a factor structure in the parameters

I introduce a factor structure on the parameters of a Bayesian TVP-VAR to reduce the dimension of the model's state space. To further limit the scope of over-fitting the estimation of the factor loadings uses a new generation of shrinkage priors. A Monte Carlo study illustrates the ability of the proposed sampler to well distinguish between time-varying and constant parameters. In an application with Swiss data the model proves useful to capture changes in the economy's dynamics due to the lower bound on nominal interest rates.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 19.03

Classification
Wirtschaft
Bayesian Analysis: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Monetary Policy
Subject
Bayesian VAR
time-varying parameter
dimension reduction

Event
Geistige Schöpfung
(who)
Beyeler, Simon
Event
Veröffentlichung
(who)
Swiss National Bank, Study Center Gerzensee
(where)
Gerzensee
(when)
2019

Handle
Last update
10.03.2025, 11:46 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Beyeler, Simon
  • Swiss National Bank, Study Center Gerzensee

Time of origin

  • 2019

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