Discrete State-Space Methods for the Study of Dynamic Economies
AbstractThis code supports the text in Craig Burnside, Discrete State-Space Methods for the Study of Dynamic Economies, in Ramon Marimon and Andrew Scott (eds), Computational Methods for the Study of Dynamic Economies, Chapter 5, Oxford University Press. Non-linear models with a finite numbers of states can be solved exactly with discrete state-space methods. They are also an excellent approximation to models with a continuous state space. The software is described in paragraph 6 of the chapter. Two programs solve the asset pricing model with i.i.d shocks (apiid.m) and serially correlated shocks (apsco.m). Two other programs solve the one-sector growth model with the "Tauchen" (grtauch.m) and the "Baxter" (grbcr.m) methods. The other files are subroutines.
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Bibliographic InfoSoftware component provided by Quantitative Macroeconomics & Real Business Cycles in its series QM&RBC Codes with number 125.
Programming language: Matlab
Date of creation: 1998
Date of revision:
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