Linearization about the Current State: A Computational Method for Approximating Nonlinear Policy Functions during Simulation
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- Linearization about the Current State: A Computational Method for Approximating Nonlinear Policy Functions during Simulation
by Christian Zimmermann in NEP-DGE blog on 2015-09-30 23:56:23
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- Shalva Mkhatrishvili & Douglas Laxton & Davit Tutberidze & Tamta Sopromadze & Saba Metreveli & Lasha Arevadze & Tamar Mdivnishvili & Giorgi Tsutskiridze, 2019. "Solving non-linear dynamic models (more) efficiently: application to a simple monetary policy model," NBG Working Papers 012019, National Bank of Georgia.
- Phillips, Kerk L., 2010. "A Dynamic General Equilibrium Analysis of Japanese & Korean Immigration," MPRA Paper 23501, University Library of Munich, Germany.
- Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
More about this item
Keywordsynamic stochastic general equilibrium; linearization methods; numerical simulation; computational techniques; simulation modeling; unstable models; unbalanced growth;
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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