DP15446 A hitchhiker guide to empirical macro models
|Author(s):||Fabio Canova, Filippo Ferroni|
|Publication Date:||November 2020|
|Keyword(s):||Bayesian inference, Filters and Cycles, Forecasts, identification, local projections, Matlab, Missing values, VARs|
|JEL(s):||C10, E32, E52|
|Programme Areas:||Monetary Economics and Fluctuations|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=15446|
This paper describes a package which uses MATLAB functions and routines to estimate VARs, local projections and other models with classical or Bayesian methods. The toolbox allows a researcher to conduct inference under various prior assumptions on the parameters, to produce point and density forecasts, and to trace out the causal effect of shocks using a number of identification schemes. The toolbox is equipped to handle missing observations, mixed frequencies and time series with large cross-section information (e.g. panels of VAR and FAVAR). It also contains a number of routines to extract cyclical information and to date business cycles. We describe the methodology employed and implementation of the functions with a number of practical examples.