Matlab Code for Solving Linear Rational Expectation Models with Lagged Expectations Quickly and Easily

Alexander Meyer-Gohde

QM&RBC Codes from Quantitative Macroeconomics & Real Business Cycles

Abstract: This program contains a solution and an estimation method for linear rational expectations models with lagged expectations (e.g., sticky information). The solution method is a synthetic approach, combining state-space and infinite-MA representations with a simple system of linear equations. The advantage of the approach lies in its particular combination of methods familiar elsewhere in the literature to provide faster execution, more general applicability, and more straightforward usage than with existing algorithms. Bayesian methods are employed for estimation without the Kalman filter by using an alternative recursive algorithm to evaluate the likelihood function. The software provides impulse responses to anticipated and unanticipated innovations, simulations, and frequency-domain and simulated moments.

Language: Matlab
Date: 2007-10-30, Revised 2010-04
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Downloads: (external link)
https://dge.repec.org/codes/meyer-gohde/Linlagex_Release_published.zip program code, examples and manual (published version) (application/x-matlab)
https://dge.repec.org/codes/meyer-gohde/LinLagEx_Release_1_1.zip program code, examples and manual (update) (application/x-matlab)
https://dge.repec.org/codes/meyer-gohde/LinLagEx_0_1.zip program code, examples and manual (application/x-matlab)
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Persistent link: https://EconPapers.repec.org/RePEc:dge:qmrbcd:171

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