Data and code for "Human-Time Economics: A Biophysical Theory of Finite Human Lifetime in Economic Organization"
Description
This package reproduces every table and figure in the article "Human-Time Economics: A Biophysical Theory of Finite Human Lifetime in Economic Organization" and its Supplementary Material. Running python code/run_all.py executes the full pipeline in about 25 seconds, writes all outputs to outputs/, and verifies each published magnitude against a hard-coded target, exiting successfully only if every check passes. The article treats finite human lifetime as the temporal boundary of the economic system and human time as the non-storable service flow that boundary emits. Output is decomposed into six margins: population, waking day, appropriation rate, exergy per appropriated hour, conversion efficiency, and value per unit of useful work. Five carry stated physical ceilings. Three input files hold every quantity used. us_benchmark_series.csv gives primary exergy, the time-fund, waged and unwaged appropriated hours, conversion efficiency and real output for the United States at twelve benchmark years between 1950 and 2024; the derived margins follow from these seven columns and the identity closes to a relative tolerance of 1e-9 at every year. country_panel.csv gives debt, demographic projections, trade shares, employment and hours for ten economies. parameters.csv lists all twenty-five scalar conventions with their units and sources. Nothing is hard-coded inside the scripts except the verification targets, so a reviewer can alter an assumption in one place and observe its effect on the published numbers. Eight numbered scripts produce, in order: the six-margin decomposition of United States growth; temporal leverage and the demographic wedge across ten economies, with the correction for human time embodied in trade; the reproduction accounts, the fertile sub-fund and the reproduction wedge; the forward margin budget to 2050; a 20,000-draw Monte Carlo propagation of the calibration band; the analytical solution, Hopf boundary, growth-rate shift, detection lag and nonlinear simulation of the appropriation-reproduction delay system; the trade correction; and exact permutation tests of the 1973 regime switch together with simulated power for the article's six propositions. No raw third-party data are redistributed. All primary sources are public and listed in the README: EIA energy accounts, BEA national accounts, FRED population series, Penn World Table and Kendrick (1961) for hours, Ayres and Warr (2009) for conversion efficiency, BIS and Federal Reserve Z.1 for credit, UN World Population Prospects 2024 for demographic projections, BLS American Time Use Survey for care hours, NCES for instructional staff, NCHS for births, and Hickel, Hanbury Lemos and Barbour (2024) for embodied labour in trade. Random seeds are fixed at 20260813 and 7. Tested with Python 3.10, NumPy 2.x, SciPy 1.x, pandas 2.x and Matplotlib 3.10. keywords: human time;finite lifetime;biophysical economics; time appropriation; social reproduction;growth accounting; exergy; time use;
Files
Steps to reproduce
1. Install dependencies: pip install -r requirements.txt 2. Run the full pipeline: python code/run_all.py 3. Runtime: ~25 seconds on an ordinary laptop. 4. The script executes all 8 sub-scripts in sequence, writes every table (CSV) and figure (PNG/PDF, 600 dpi) in the article and its Supplementary Material to outputs/tables/ and outputs/figures/, and verifies each published magnitude against a hard-coded target from the manuscript. 5. Expected result: the run ends with ALL SCRIPTS COMPLETED AND ALL PUBLISHED VALUES REPRODUCED. printed to stdout. Any mismatch between a computed and a published value is reported instead as [FAIL] with both numbers shown side by side. Tested on: Python 3.10, NumPy 2.x, SciPy 1.x, pandas 2.x, Matplotlib 3.10. Random seeds fixed at 20260813 and 7 — results are deterministic.
Institutions
- Azerbaijan State University of EconomicsBaki, Baku