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GAUSS and Matlab codes for Multivariate Linear Rational Expectations Models: Characterization of the Nature of the Solutions and Their Fully Recursive Computation

Author

Listed:
  • Michael Binder

    (University of Frankfurt)

  • M. Hashem Pesaran

    (University of Cambridge)

Programming Language

GAUSS Matlab

Abstract

Code for article published in Econometric Theory, 13 (1997), pp. 877-888. Currently, you may download two GAUSS programs and two MATLAB programs from this page. Both programs solve the real business cycle model of Christiano and Eichenbaum (1992). (See also Binder and Pesaran, 1995). The programs RBCQDE.PRG (GAUSS) and RBCQDE.M (MATLAB) solve this model using the quadratic determinantal equation method, and the programs RBCFRM.PRG (GAUSS) and RBCFRM.M (MATLAB) solve this model using the fully recursive method suggested in this paper. To run either one of the GAUSS programs, you will also need to download the procedure MATPOW.G.

Suggested Citation

  • Michael Binder & M. Hashem Pesaran, 1997. "GAUSS and Matlab codes for Multivariate Linear Rational Expectations Models: Characterization of the Nature of the Solutions and Their Fully Recursive Computation," QM&RBC Codes 73, Quantitative Macroeconomics & Real Business Cycles.
    • Handle: RePEc:dge:qmrbcd:73
    as

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    File URL: https://dge.repec.org/codes/binder/et/
    File Function: program code
    Download Restriction: none
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    Keywords

    GAUSS; Matlab;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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