SIdE Bayes School
September, 11-16, 2017
September, 11-16, 2017
Coordinator: Gaetano Carmeci, DEAMS, Trieste University
e-mail: gaetano.carmeci@deams.units.it
Structure of the Course and Timetable
Syllabus
Gaetano Carmeci, University of Trieste, Slides, Exercises
Stefano Peluso, University Cattolica del Sacro Cuore, Slides and Code
Matteo Ciccarelli, European Central Bank, Slides and Code
Roberto Casarin, University Ca' Foscari of Venice, Slides and Code
Resources and libraries for different softwares
Codes and libraries on Bayesian inference from his book
For the Matlab codes and references on Stochastic Search, Bayesian VAR,..., follow the link to his research page
For Matlab codes and libraries on Bayesian inference (VAR, Panel, Logit,...) follows these links: Spatial Econometrics
Matlab codes and libraries on Bayesian inference from his book
Disclaimer:
Many routines and functions used in the various parts of the course rely on material distributed by several scholars on their web pages or have been adapted from codes associated with Bayesian books or courses. In particular, many MATLAB functions come from LeSage's Econometrics Toolbox (see LeSage, Applied econometrics using MATLAB, available at http://www.spatial-econometrics.com). Some routines for VAR and hierarchical models are adapted from Koop (Bayesian Econometrics, Wiley, 2003, available at http://www.wiley.com/legacy/wileychi/koopbayesian/) and Koop and Korobilis (2010, material available at http://personal.strath.ac.uk/gary.koop/bayes_matlab_code_by_koop_and_korobilis.html). Main codes usually acknowledge the sources.