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Quantifying-the-effects-of-social-security-reform

This repo contains the codes of Quantifying the effects of social security reform. The project implements an OLG model in Python. The overview:

  • Overlapping Generations Model (OLG): steady state and transition

  • Ex-ante heterogeneity: labor productivity (low and high) and demographic

  • Closed economy

  • Perfect foresight

  • Different pension systems:

    • Funded defined contribution (FDC)
    • Notional defined contribution (NDC)
    • Non-contributory targeted pension (NTP)
  • Chilean application:

    • FDC+NTP
    • Add NDC

Description of files

  • main_code_six_gen.py: the code
  • OLGPython.ipynb: Jupyter notebook that describes and runs all the code

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OLG with ex-ante heterogeneity

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