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VectorAutoregressions.jl

Estimating Vector Autoregressions (VARs) using Julia.

VectorAutoregressions.jl is an in-development package for estimating VARs using Julia. The initial goal is to provide functionality comparable to the vars package in R. Longer-term goals include adding Bayesian estimation.

Currently implemented:

  • Calculate lag selection criteria.
  • Estimate an unrestricted VAR using OLS.
  • Check the stability of an estimated VAR.
  • Portmanteau test for autocorrelation in the residuals.
  • LM (Breusch-Godfrey) test for autocorrelation in the residuals.

To do:

  • Test for normally-distributed residuals.
  • Calculate simple and orthogonalized impulse responses.
  • Add support for linear restrictions.
  • Add support for structural VARs.

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