YADA is distributed with ten examples that allow you to start playing with DSGE models directly. The examples are given by the models studied by:
1. | - link to Econometric Reviews article. The data for this example has been simulated with the model. The model is also available in two dynare model file variants, one already log-linearized and another that requires linearization by dynare. Both cases, as well as full log-linearization is supported by YADA's dynare parser. |
5. | - link to NBER Macroeconomics Annual article. The euro area version of this model from is included in the YADA distribution, along with actual data. |
It is straightforward to setup these examples in the YADA environment since all input files have already been constructed. A guide for the An and Schorfheide example is provided in the FAQ.
The GUI, or Graphical User Interface, for YADA has three basic objects: menus, a toolbar, and tabs for various settings and options. All the main functions in YADA are hidden below the menu items. Some of the most important functions, such as opening this help file, are also located on the toolbar.
NOTE: The minimum system requirement for running YADA are:
• | MS-Windows operating system with Matlab version 5.3 or later. For Matlab versions prior to 7, make sure that it is permitted to run the file aimparser.exe, located in the bin directory of YADA. |
• | UNIX or Macintosh OS X with Matlab version 7 or later. |
Additional Information
• | If you are looking for the mathematical details behind the computations made by YADA, the first place to look is the document YADA Manual - Computational Details which is distributed with YADA. |
• | If you are looking for details about how to entend YADA, a place to start is Extending YADA - A Guide to The User Interface, The Controls and The Data Structures, which is also distributed with YADA. |
• | YADA has been developed in connection with the New Area-Wide Model (NAWM) project at the ECB. A working paper describing the NAWM () is available for download from the website of the ECB, a working paper of the latest version called NAWM II () and a working paper describing forecasting with DSGE models () are also available for download from the same site. |
• | One of YADA's model solvers uses the QZ decomposition based algorithm. The code in YADA has here been inspired by Paul Klein's own solab code. The latter code is available from his website for Matlab as well as for Gauss and Fortran. |
Page url:
http://www.texlips.net/yada/help/index.html?yada_examples.htm