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

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Author Info
Özer Karagedikli
Troy Matheson
Christie Smith
Shaun P. Vahey (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 (often Bayesian) techniques for computation and inference, providing a supplement to the Romer (2006) textbook treatment which stresses theoretical issues. Many computational aspects are illustrated with reference to the simple divisible labour RBC model familiar to graduate students from King, Plosser and Rebelo (1988), Christiano and Eichenbaum (1992), Campbell (1994) and Romer (2006). 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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File URL: http://www.rbnz.govt.nz/research/discusspapers/dp07_15.pdf
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Publisher Info
Paper provided by Reserve Bank of New Zealand in its series Reserve Bank of New Zealand Discussion Paper Series with number DP2007/15.

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Length: 62 p.
Date of creation: Nov 2007
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Handle: RePEc:nzb:nzbdps:2007/15

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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This page was last updated on 2008-11-9.


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