FunctionalCoefficientVARResult._summary_table#
- FunctionalCoefficientVARResult._summary_table()[source]#
Build the structured summary.
- Return type:
- Returns:
One row per equation with its own first-lag coefficient at the low and high ends of the state range; the metadata names the state, its delay and range, the kernel and the grid; the notes state the bandwidth’s provenance, the effective parameter count and the absent likelihood, the largest local companion root, the conditional nature of the bands, the no-extrapolation rule and the frozen-coefficient reading of
irf.
Example
>>> import numpy as np >>> y = np.random.default_rng(0).standard_normal((150, 2)) >>> res = FunctionalCoefficientVAR(y, order=1, transition_variable="y1").fit( ... bandwidth=1.0, n_grid=11 ... ) >>> table = res._summary_table() >>> table.title, len(table.rows), len(table.notes) ('Functional-coefficient VAR(1) Results', 2, 6) >>> table.columns ('equation', 'own L1 at state low', 'own L1 at state high') >>> table.metadata[1], table.metadata[3] (('State', 'y1 (delay 1)'), ('Kernel', 'Epanechnikov, local linear')) >>> table.notes[0] 'Bandwidth 1 stated by the caller.'