Replication Package for "The Determinacy of Effective Demand: A Rank Condition for Price- and Wage-Adjustment Models"

This is the replication package for "The Determinacy of Effective Demand: A Rank Condition for Price- and Wage-Adjustment Models" (J. G. de A. Oliveira, 2026). It reproduces every numerical result in the paper from public data, with no proprietary software, in under ten minutes on a standard desktop. The code has three self-contained entry points. reproduce_tables.py recomputes the five-model determinacy taxonomy and every value in Tables 2-4 analytically, from the closed-form equilibrium Jacobians in the Appendix; it runs no simulation and isthe canonical check that the paper is internally consistent. calibration.m reproduces the same tables independently in GNU Octave, and verify_ces_rank.m reproduces the structural-robustness table showing that the rank condition holds across the whole CES family. nur_core.py (mirrored in base R as nur_core.R) reproduces the near-unit-root identification of the output-adjustment speed theta2 on the FRED quarterly series. Calibration note: investment carries an output channel, dI/dY = -0.020, which enters the IS-feedback (Keynesian) price equation only; the other four closures are unaffected. The Keynesian equilibrium is a stable focus with eigenvalues -0.083 +/- 0.162i (period 38.7 quarters), Lyapunov matrix P = [[11.83, -2.88], [-2.88, 5.01]] and c* = 4.31. Requirements: Python 3.12 (numpy, scipy, matplotlib), base R >= 4.0, and GNU Octave >= 6.1 (no toolboxes; the same .m files run in MATLAB).