Gauss Tutorial You can download several GAUSS sample programs to familiarize yourself with the GAUSS programming language. Please have a look at the readme-file first. The Tutorial consists of an ASCII data-set and the three programs matrix.g, loaddata.g, random.g. Each program asks you to do a small exercise at the end.   GAUSS Programs for DSGE Model Evaluation Programs for "Learning-by-Doing as Propagation Mechanism" paper with Yongsung Chang and Joao Gomes. Package includes: VAR analysis for Minnesota Prior, Blanchard and Quah Identification, Computing Posterior Modes for DSGE Model Parameters, Metropolis Algorithm for DSGE Models, Moment and IRF based Model Evaluation. Solving Linear Rational Expectations Models GAUSS implementation of Chris Sims' solution algorithm for Linear RE Models. The programs are based on a Generalized (complex) Schur decomposition, written for GAUSS  by Paul Soederlind. (Note: The Schur decomposition is included in the package.) Download Programs. (last updated on 7/16/03) DYNARE Dynare is a pre-processor and a collection of GAUSS, MATLAB, or Scilab routines which solve non-linear models with forward looking variables: Link to Dynare Site. Software for Bayesian Data Analysis Bayesian Analysis, Computation, and Communication (BACC) Bayesian Inference Using Gibbs Sampling (BUGS) EVIEWS Tutorial for Undergraduate Students: Tutorial I by Canlin Li Tutorial for Graduate Students: Tutorial II by Chun-Seng Yip