Measuring the Stance of Monetary Policy in a Time-Varying World
Por Fernando Pérez
April 2018
Idioma: English
Keywords
- bayesian methods
- interbank market
- monetary policy stance
- Multi-move Metropolis within Gibbs Sampling
- operating procedures
- structural VAR
- time varying parameters
Clasificación JEL:
- C11
- E51
- E52
- E58
Resumen:
Knowing the stance of monetary policy is a general theme of interest for academics, policy makers and private sector agents. The mentioned stance is not necessarily observable, since the Fed have used different monetary instruments at different points in time. This paper provides a measure of this stance for the last forty five years, which is a weighted average of a pool of instruments. We extend Bernanke and Mihov (1998)'s Interbank Market model by allowing structural parameters and shock variances to change over time. In particular, we follow the recent work of Canova and Perez Forero (2015) for estimating non-recursive TVCVARs with Bayesian Methods. The estimated stance measure describes how tight/loose was monetary policy over time and takes into account the uncertainty related with posterior estimates of time varying parameters. Finally, we present how has monetary transmission mechanism changed over time, focusing our attention in the period after the Great Recession.
