Navigation:  Menu Commands > File Menu > Model Sequence >

 

Run Model Sequence

 

Print this Topic Previous pageReturn to chapter overviewNext page

The function makes it possible to access certain YADA tools for a sequence of models. For DSGE models, these tools currently cover posterior mode estimation, posterior sampling, predictive likelihood estimation, marginal predictive moments, marginal likelihood estimation, probability integral transforms (PITs), the continuous ranked probability scores (CRPS) and the energy scores (ES) using the posterior draws, and the Laplace approximation based on the posterior mode. For DSGE-VAR models, marginal and joint posterior mode estimation and posterior sampling of the DSGE model and the VAR parameters are supported, as well as predictive likelihood estimation, estimation of the marginal predictive moments using posterior draws, and marginal likelihood estimation using the posterior draws, and the Laplace approximation using a posterior mode estimate. For DSGE models under adaptive learning, the same sequential tools are available as for DSGE models under rational expectations.

Finally, the driver functions can also be run via a model sequence.

 

 


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