Welcome to YADA

YADA is program for conducting Bayesian estimation and evaluation of Dynamic Stochastic General Equilibrium (DSGE) and Vector AutoRegressive (VAR) models. It is developed by the New Area-Wide Model (NAWM) team at the Econometric Modelling Division within the Directorate General Research of the European Central Bank (ECB). Unlike other DSGE estimation applications, such as Dynare, YADA is a GUI-based program. The upper part of the main program window is displayed below in Figure 1.

Figure 1: The DSGE Data tab in YADA.

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 is: 32-bit Windows operating system with Matlab version 5.3 or later. YADA can also be used on any operating system that can run a Windows version of Matlab, such as an Intel-based Mac with VMWare Fusion.

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.

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YADA has been developed in connection with the New Area-Wide Model (NAWM) project at the ECB. A working paper describing the NAWM (Christoffel, Coenen and Warne, 2008) is available for download from the website of the ECB, while a working paper describing forecasting with DSGE models (Christoffel, Coenen and Warne, 2010) is also available for download from the same site.

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YADA relies on some external code. In particular, it uses some functions and ideas developed by Mattias Villani at Sveriges Riksbank. Moreover, it relies on AiM (developed by Anderson and Moore at the Federal Reserve) to solve the DSGE model. It also includes csminwel by Christopher Sims, as well as code from Stixbox by Anders Holtsberg, from the Lightspeed Toolbox by Tom Minka, from Dynare by Michel Juillard and Stephane Adjemian, and from the Kernel Density Estimation Toolbox by Christian Beardah.

Page url: http://www.texlips.net/yada/help/index.html?welcome_to_yada.htm