A tool for performing Monte Carlo analysis on the possible net costs of health plans for households.
JavaScript HTML Python
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.imdone
bower_components
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README.md
api_calls.py
app.js
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chart_test.js
insurance_angular.html
sample_plans.csv
test_albemarle_policies.csv
test_policies.csv

README.md

Insurance Policy Comparison

Given a family profile and the characteristics of several insurance plans, iterate across n randomly generated years of health events and estimate the net cost to the household. Hopefully a tool like this could allow households to choose their insurance plans with something approaching the degree of analytical clarity that insurance companies themselves enjoy.

Additional data about national plans is available here.

This was an R Shiny app, and is being rebuilt as pure JavaScript (in angular). A more-or-less current version of the new app can be found here.

Methodological note: the analytical method proposed for this project is more complex and probably less robust than the one described here.