EconPapers    
Economics at your fingertips  
 

MONETARY POLICY TRANSMISSION MECHANISM AND TVP-VAR MODEL

Andreea A. Rosoiu
Additional contact information
Andreea A. Rosoiu: Faculty of Finance, Insurance, Banks and Stock Exchanges, The Academy of Economic Studies, Bucharest

Network Intelligence Studies, 2013, issue 2, 119-126

Abstract: The transmission of monetary policy to the economy is a subject of major importance for central banks because, by using these measures, central banks can achieve their purpose of ensuring price stability without neglecting the objective of sustainable economic growth. In order to analyze the evolution of the monetary policy transmission mechanism in Romania, a time varying structural vector autoregression model is estimated, by using a Markov Chain Monte Carlo algorithm for the posterior evolution. The conclusions of the empirical study are: both systematic and non-systematic monetary policy have changed during the investigated period of time, the systematic response of the interest rate to shocks in inflation and unemployment being faster over the recent period. Also, non-policy shocks seem more important than interest rate shocks in explaining inflation and unemployment evolution.

Keywords: Monetary policy; Transmission mechanism; Time varying structural vector autoregression model; Markov Chain Monte Carlo algorithm; Romania (search for similar items in EconPapers)
JEL-codes: C15 C82 E31 E52 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/NIS_2_13.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:networ:y:2013:i:2:p:119-126

Access Statistics for this article

Network Intelligence Studies is currently edited by Romanian Foundation for Business Intelligence

More articles in Network Intelligence Studies from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().

 
Page updated 2025-03-19
Handle: RePEc:cmj:networ:y:2013:i:2:p:119-126