Update README.md

README.md

@@ -4,5 +4,4 @@ Empirical macro toolbox
 
 by F. Ferroni and F. Canova
 
-This repository contains  MATLAB functions, routines and documentation to estimate VARs, FAVARs, 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. It can also deal with panels of time series. We describe the methodology employed and implementation of the functions. We illustrate the main features with a number of practical examples.
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+This repository contains MATLAB functions, routines and documentation 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