statsmodels.tsa.vector_ar.irf.IRAnalysis

class statsmodels.tsa.vector_ar.irf.IRAnalysis(model, P=None, periods=10, order=None, svar=False, vecm=False) [source]

Impulse response analysis class. Computes impulse responses, asymptotic standard errors, and produces relevant plots

Parameters: model (VAR instance) –

Notes

Using Lütkepohl (2005) notation

Methods

G()
H()
cov([orth]) Compute asymptotic standard errors for impulse response coefficients
cum_effect_cov([orth]) Compute asymptotic standard errors for cumulative impulse response coefficients
cum_effect_stderr([orth])
cum_errband_mc([orth, repl, signif, seed, burn]) IRF Monte Carlo integrated error bands of cumulative effect
err_band_sz1([orth, svar, repl, signif, …]) IRF Sims-Zha error band method 1.
err_band_sz2([orth, svar, repl, signif, …]) IRF Sims-Zha error band method 2.
err_band_sz3([orth, svar, repl, signif, …]) IRF Sims-Zha error band method 3.
errband_mc([orth, svar, repl, signif, seed, …]) IRF Monte Carlo integrated error bands
fevd_table()
lr_effect_cov([orth])
lr_effect_stderr([orth])
plot([orth, impulse, response, signif, …]) Plot impulse responses
plot_cum_effects([orth, impulse, response, …]) Plot cumulative impulse response functions
stderr([orth])

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.html