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RBCs and DSGEs: The Computational Approach to Business Cycle Theory and Evidence

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Author Info
Özer Karagedikli (Bank of England)
Troy Matheson (Reserve Bank of New Zealand)
Christie Smith (Norges Bank (Central Bank of Norway))
Shaun Vahey (Melbourne Business School, Norges Bank (Central Bank of Norway) , and Reserve Bank of New Zealand)

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Abstract

Real Business Cycle (RBC) and Dynamic Stochastic General Equilibrium (DSGE) methods have become essential components of the macroeconomist’s toolkit. This literature review stresses recently developed techniques for computation and inference, providing a supplement to the Romer (2006) textbook, which stresses theoretical issues. Many computational aspects are illustrated with reference to the simple divisible labour RBC model. Code and US data to replicate the computations are provided on the Internet, together with a number of appendices providing background details.

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Publisher Info
Paper provided by Norges Bank in its series Working Paper with number 2008/17.

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Length: 26 pages
Date of creation: 24 Oct 2008
Date of revision:
Handle: RePEc:bno:worpap:2008_17

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Related research
Keywords: RBC; DSGE; Computation; Bayesian Analysis; Simulation;

Other versions of this item:

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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This page was last updated on 2009-11-19.


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