A Bayesian-Estimated Model of Inflation Targeting in South Africa /

A Bayesian-Estimated Model of Inflation Targeting in South Africa /

This paper estimates a small dynamic macroeconomic model for the South African economy with Bayesian methods. The model is tailored to assessing the impact of domestic as well as external shocks on inflation within an inflation targeting framework, by incorporating forward-looking behavior of privat...

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Bibliografiske detaljer
Hovedforfatter:	Harjes, Thomas
Andre forfattere:	Ricci, Luca
Format:	Tidsskrift
Sprog:	English
Udgivet:	Washington, D.C. : International Monetary Fund, 2008.
Serier:	IMF Working Papers; Working Paper ; No. 2008/048
Online adgang:	Full text available on IMF

Lignende værker

Mathematical Modeling, Bayesian Estimation, and Inverse Problems

Estimating the Implicit Inflation Target of the South African Reserve Bank /
af: Klein, Nir
Udgivet: (2012)

Estimating the Implicit Inflation Target : An Application to U.S. Monetary Policy /
af: Leigh, Daniel
Udgivet: (2005)

The Relative Merits and Implications of Inflation Targeting for South Africa /
af: Jonsson, Gunnar
Udgivet: (1999)

A Simple DGE Model for Inflation Targeting.
Udgivet: (2007)

A Bayesian Approach to Model Uncertainty /
af: Tsangarides, Charalambos
Udgivet: (2004)

Flexible Bayesian Regression Modelling
af: Fan, Yanan
Udgivet: (2020)

Flexible Bayesian Regression Modelling
af: Fan, Yanan
Udgivet: (2020)

Estimating The Inflation-Growth Nexus-A Smooth Transition Model /
af: Espinoza, Raphael
Udgivet: (2010)

Monetary Policy and Relative Price Shocks in South Africa and Other Inflation Targeters /
af: Cuevas, Alfredo
Udgivet: (2008)

Inflation Targeting in Practice /
af: Debelle, Guy
Udgivet: (1997)

Inflation Targeting Lite /
af: Stone, Mark
Udgivet: (2003)

Inflation Targeting Regimes /
af: Carare, Alina
Udgivet: (2003)

Why Inflation Targeting? /
af: Freedman, Charles
Udgivet: (2009)

Inflation Targeting and the IMF.
Udgivet: (2006)

Towards Bayesian Model-Based Demography
af: Bijak
Udgivet: (2022)

Inflation Targeting : Theory and Policy Implications /
af: Green, J.
Udgivet: (1996)

Bayesian Argumentation
Udgivet: (2013)

Bayesian Analysis | International Society for Bayesian Analysis

Bayesian Analysis | International Society for Bayesian Analysis

Estimation of the Equilibrium Real Exchange Rate for South Africa /
af: MacDonald, Ronald
Udgivet: (2003)

Inflation Targeting : What is the Meaning of the Bottom of the Band? /
af: Clifton, Eric
Udgivet: (1999)

A Model for Full-Fledged Inflation Targeting and Application to Ghana /
af: Clinton, Kevin
Udgivet: (2010)

Inflation Targeting and the Unemployment-Inflation Trade-off /
af: Wong, Chorng-Huey
Udgivet: (2001)

Inflation Targeting and Communication : It Pays Off to Read Inflation Reports /
af: Smidkova, Katerina
Udgivet: (2008)

Inflation Targeting in Korea : An Empirical Exploration /
af: Hoffmaister, Willy
Udgivet: (1999)

Inflation Targeting and the Crisis : An Empirical Assessment /
af: de Carvalho Filho, Irineu
Udgivet: (2010)

Inflation Targeting at 20 : Achievements and Challenges /
af: Roger, Scott
Udgivet: (2009)

Inflation Targeting Pillars : Transparency and Accountability /
af: Laxton, Douglas
Udgivet: (2009)

Inflation Targeting in Georgia : Are We There Yet? /
af: Bakradze, Giorgi
Udgivet: (2007)

In Search of Successful Inflation Targeting : Evidence From An Inflation Targeting Index /
af: Miao, Yanliang
Udgivet: (2009)

Implementing Inflation Targeting : Institutional Arrangements, Target Design, and Communications /
af: Peter, Marcel
Udgivet: (2006)

Does Inflation Targeting Matter? /
af: Sheridan, Niamh
Udgivet: (2003)

Is Poland Ready for Inflation Targeting? /
af: Christoffersen, Peter
Udgivet: (1999)

Inflation Targeting and Output Stability /
af: Jadresic, Esteban
Udgivet: (1999)

Hybrid Inflation Targeting Regimes /
af: Garcia, Carlos
Udgivet: (2009)

Inflation Targeting in Dollarized Economies /
af: Leiderman, Leonardo
Udgivet: (2006)

The Inflation Targeting Framework in Norway /
af: Soikkeli, Jarkko
Udgivet: (2002)

Inflation-Forecast Targeting : Applying the Principle of Transparency /
af: Clinton, Kevin
Udgivet: (2015)

Optimal Bayesian Classification
af: Dalton, Lori
Udgivet: (2020)