This paper reviews the basics of Bayesian analysis and provides a framework for turning auxiliary information into prior distributions for parameters in your model by using SAS Econometrics software. It discusses common pitfalls and gives several examples of how to use the framework.
This paper describes how SAS Econometrics software can help you take advantage of the distributed computing environment of SAS Viya to implement each step of the process efficiently.
This paper uses two examples to illustrate how you can use RSMs to better understand the regime patterns in your data and improve your economic analysis.