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OLG Model Inputs & Outputs

The OLG Model is an overlapping-generations model combining the Health OLG and DynamicModel; it solves the baseline steady state and transition path. This page shows what it reads (upstream models, external and in-repo data), the stages it runs, and the files it writes for downstream models.

OLG model documentation (PDF) Standard output for a healthcare reform (over 300 more charts exist that are more related to other reforms) (PDF)
OLG Model Inputs & OutputsThe OLG Model is an overlapping-generations model combining the Health OLG and DynamicModel; it solves the baseline steady state and transition path. This page shows what it reads (upstream models, external and in-repo data), the stages it runs, and the files it writes for downstream models. Model links open their documentation pages. OLG Interfaces outputs/OLGInterfaces/OLGInputs Calibration calibration/baseline RunGroup setup load 12 interfaces, add SIT row Replication inputs/ params, runscript, git, calibration Baseline steady state 2024, ≤ 20 iterations, cold start Baseline transition 2024–2033, magic money SIT static run consumption-tax closure Aggregate tables compare *_static scenarios baseline/ ISS, final SS iters, dynamic path sit/ ISS copy, transition_path_static tables_static_baseline/ levels, diffs, publication .xlsx 12 interface folders calibrated params copy inputs run inputs initial guess baseline path 2024 state path + iters static path .xlsx tables outputs/OLGModel/pipeline_test Legend Upstream model output Stage In-repo data Output

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