Released on 21/04/2009:
• | 5 new prior distributions are supported by YADA: Student-t, Cauchy, Logistic, Pareto, and Gumbel. Apart from the Pareto, all have the real line as support, but have fatter tails than the normal. Also, the logistic can be and the Gumbel is skewed. |
• | Graph-a-prior function from the View menu. Any prior distribution directly supported by YADA can be quickly plotted here. |
• | Random draws from all prior distributions are available, also for users that don't have the statistics toolbox installed. |
• | Prior sampling is now a function on the toolbar and on the Actions menu. |
• | Draws from the prior distribution can now be utilized by all tools that support draws from the posterior distribution, e.g., impulse responses, variance decompositions, predictions, etc. |
• | Import YADA Settings function on the File menu. Certain settings from another dsge-file can be directly imported into the current model through this function. Settings that are directly model related (DSGE Data tab settings, output directory, sample settings, some BVAR settings) are not affected by the settings import. |
• | The AiM parser now only allows for 1 lag in the AiM model file. If more than 1 lag is needed then one should use x2=LAG(x1,1) for x1=LAG(x,1) instead of x2=LAG(x,2). Using 2 or more lags currently causes certain functions in YADA to crash. Although AiM supports more than 1 lag, the current YADA restrictions is convenient as it keeps the code simpler (and the model dimension smaller). |
Page url:
http://www.texlips.net/yada/help/index.html?1_80.htm