~/talk

Forecasting social inequality using agent-based modelling

Talkat PyData London 2017 · 2017-05-05..05-07· [machine-learning]
links:none on file
slides:none on file

Agent‑based model of UK demography uses ONS and census inputs and Python (numpy, pandas) to run 150‑year simulations on 10,000 agents across many AWS cores. Comparing descendants trusts versus direct inheritance shows a sustained drop in inequality measured by the Gini coefficient for up to a century, earlier wealth injections for grandchildren, but a counterintuitive rise in parent–child wealth correlation. Model assumptions include 5% saving, 3% returns, retirement annuity and simple coupling/fertility rules.

AI-written summary · about

  1. 0:00Agent-based modelling intro
  2. 7:53What is an agent-based model
  3. 10:20Data for inheritance model
  4. 14:12Building agent rules
  5. 21:00Testing inheritance rules
  6. 24:12Agent wealth trajectories
  7. 27:27Measuring inequality with Gini
  8. 32:48Simulation results
  9. 33:53Q&A on model
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