statsmodels.tsa.vector_ar.svar_model.SVARResults.sirf_errband_mc

SVARResults.sirf_errband_mc(orth=False, repl=1000, steps=10, signif=0.05, seed=None, burn=100, cum=False)[source]

Compute Monte Carlo integrated error bands assuming normally distributed for impulse response functions

Parameters:
orthbool, default False

Compute orthogonalized impulse response error bands

replint

number of Monte Carlo replications to perform

stepsint, default 10

number of impulse response periods

signiffloat (0 < signif <1)

Significance level for error bars, defaults to 95% CI

seedint

np.random.seed for replications

burnint

number of initial observations to discard for simulation

cumbool, default False

produce cumulative irf error bands

Returns:
Tuple of lower and upper arrays of ma_rep monte carlo standard errors

Notes

Lütkepohl (2005) Appendix D


Last update: Feb 28, 2024