Robustness analysis inspired by Section 3.10, using the Growth+ model for internal validity and sensitivity experiments.

Internal validity: cross-correlations of unemployment, productivity, price index, and real wage with GDP across multiple seeds.

AR(2) vs AR(1) impulse-response functions for the GDP cyclical component.

Sensitivity analysis: co-movement structure under different values of the credit market reach parameter H.

Structural experiment comparing log GDP under loyalty-based vs random consumer matching (Section 3.10.2, Figure 3.10).

Entry neutrality: mean unemployment across three profit tax rate levels.
Run this yourself:
import bamengine as bam
from extensions.rnd import RND
sim = bam.Simulation.init(seed=42)
sim.use(RND)
results = sim.run(n_periods=1000, collect=True)See the full example.