Forecasting with Julia
Abstract: A little more than a year ago, in this post, we announced DSGE.jl?a package for working with dynamic stochastic general equilibrium (DSGE) models using Julia, the open-source computing language. At that time, DSGE.jl contained only the code required to specify, solve, and estimate such models using Bayesian methods. Now, we have extended the package to provide the additional code needed to produce economic forecasts, counterfactual simulations, and inference on unobservable variables, such as the natural rate of interest or the output gap. The old, pre-Julia version of the code, which was written in MATLAB and is posted here on Github, a public repository hosting service, also performed some of these functions, but not quite as fast.
JEL Classification: C5;
File(s): File format is text/html https://libertystreeteconomics.newyorkfed.org/2017/05/forecasting-with-julia.html
Provider: Federal Reserve Bank of New York
Part of Series: Liberty Street Economics
Publication Date: 2017-05-08