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Educational App
VAR OIRF & COIRF Explorer
Estimate reduced-form VAR models and visualize orthogonalized impulse-response functions using Cholesky decomposition.
Model inputs
Variables in Cholesky order
Ordering matters. Variable 1 is ordered before Variable 2 and Variable 3 in the Cholesky decomposition.
Output
Methodological note
All selected variables are treated as endogenous. The app estimates a reduced-form VAR in Python using statsmodels. Orthogonalized impulse-response functions are computed through Cholesky decomposition, so variable ordering affects the results. The app reports point estimates and asymptotic 95% confidence intervals.