RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence
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- Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
- Özer Karagedikli & Troy Matheson & Christie Smith & Shaun Vahey, 2008. "RBCs and DSGEs: The Computational Approach to Business Cycle Theory and Evidence," Working Paper 2008/17, Norges Bank.
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"Indirect Likelihood Inference,"
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More about this item
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- 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
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2007-11-17 (Central Banking)
- NEP-DGE-2007-11-17 (Dynamic General Equilibrium)
- NEP-ECM-2007-11-17 (Econometrics)
- NEP-MAC-2007-11-17 (Macroeconomics)
Statistics
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