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Migrated Microsimulation page to app v2 using new components #244

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Migrate Microsimulation page to app v2 using new components
v-lerie Oct 13, 2025
2b4e3ae
Migrate Microsimulation page to app v2 using new components
v-lerie Oct 13, 2025
31cedc1
Migrate Microsimulation page to app v2 using new components
v-lerie Oct 13, 2025
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5 changes: 5 additions & 0 deletions app/src/Router.tsx
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import { createBrowserRouter, Navigate, RouterProvider } from 'react-router-dom';
import Layout from './components/Layout';
import HomePage from './pages/Home.page';
import MicrosimPage from './pages/Microsim.page';
import PoliciesPage from './pages/Policies.page';
import PopulationsPage from './pages/Populations.page';
import ReportOutputPage from './pages/ReportOutput.page';
Expand Down Expand Up @@ -75,6 +76,10 @@ const router = createBrowserRouter(
path: 'account',
element: <div>Account settings page</div>,
},
{
path: 'microsim',
element: <MicrosimPage />,
},
],
},
],
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206 changes: 206 additions & 0 deletions app/src/pages/Microsim.page.tsx
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import { useNavigate, useParams } from 'react-router-dom';
import { Box, Container, List, Text, Title } from '@mantine/core';
import CalloutWithImage from '@/components/shared/static/CalloutWithImage';
import { CardsWithHeader } from '@/components/shared/static/CardsWithHeader';
import PageHeader from '@/components/shared/static/PageHeader';
import { TitleCardWithHeader } from '@/components/shared/static/TextCardWithHeader';
import TwoColumnView from '@/components/TwoColumnView';
import heroImage from '@/images/posts/how-machine-learning-tools-make-policyengine-more-accurate.png';

export default function MicrosimPage() {
const navigate = useNavigate();
const { countryId } = useParams<{ countryId: string }>();
return (
<Container size="xl">
<PageHeader
title="Microsimulation"
description="How PolicyEngine's tax and benefit models work"
/>

<Box mt="3xl">
<CalloutWithImage
title="Tax-Benefit Microsimulation"
description="PolicyEngine uses microsimulation models to analyze the impact of policy reforms on real households"
buttonLabel="TRY POLICY ANALYSIS"
onButtonClick={() => countryId && navigate(`/${countryId}/policies`)}
imageSrc={heroImage}
imageAlt="Diagram showing PolicyEngine microsimulation"
/>
</Box>

<Box mt="3xl">
<TitleCardWithHeader
title="What is Microsimulation?"
sections={[
{
body: (
<>
<Text>
Microsimulation is a computational technique used to estimate the effects of
policy changes on individuals, households, or other microeconomic units. Unlike
macroeconomic models that focus on aggregate variables, microsimulation models:
</Text>

<List spacing="xs" mt="sm" withPadding>
<List.Item>
Apply tax and benefit rules to representative samples of the population
</List.Item>
<List.Item>
Calculate outcomes for each household based on their unique characteristics
</List.Item>
<List.Item>Aggregate results to estimate population-wide impacts</List.Item>
<List.Item>
Allow for detailed distributional analysis by income, demographic groups, and
more
</List.Item>
</List>

<Text mt="sm">
PolicyEngine’s microsimulation models implement tax and benefit systems as code,
allowing users to modify parameters and see how changes affect different
households and the overall population.
</Text>
</>
),
},
]}
/>
</Box>

<Box mt="3xl">
<TwoColumnView
title="How PolicyEngine's models work"
backgroundColor="secondary"
leftColumn={
<>
<Title order={3} mt="md">
Open-Source Foundation
</Title>
<Text mt="xs">
PolicyEngine builds on OpenFisca, an open-source microsimulation framework developed
by the French government. Our models implement tax and benefit rules as code,
creating a computational representation of current policy and allowing for
modifications to explore reform impacts.
</Text>

<Title order={3} mt="xl">
Data-Driven Approach
</Title>
<Text mt="xs">
Our models use nationally representative household surveys enhanced with
administrative data to create accurate population samples:
</Text>
<List spacing="xs" mt="sm" withPadding>
<List.Item>
<b>UK:</b> Family Resources Survey with custom survey weights
</List.Item>
<List.Item>
<b>US:</b> Enhanced Current Population Survey with synthetic tax records
</List.Item>
</List>

<Title order={3} mt="xl">
Machine Learning Enhancement
</Title>
<Text mt="xs">
We apply machine learning techniques to optimize our population samples:
</Text>
<List spacing="xs" mt="sm" withPadding>
<List.Item>
Gradient descent algorithms to calibrate survey weights to match administrative
totals
</List.Item>
<List.Item>
Quantile regression forests to synthesize missing tax information for US data
</List.Item>
<List.Item>Statistical validation against administrative benchmarks</List.Item>
</List>
</>
}
rightColumn={
<img
src={heroImage}
alt="Relative aggregate error chart"
style={{
width: '100%',
borderRadius: '12px',
boxShadow: '0 2px 6px rgba(0,0,0,0.1)',
}}
/>
}
/>
</Box>

<Box mt="3xl">
<TitleCardWithHeader
title="Model Accuracy and Validation"
sections={[
{
body: (
<>
<Text>
PolicyEngine continuously validates our models against administrative data to
ensure accuracy:
</Text>

<List spacing="xs" mt="sm" withPadding>
<List.Item>
Aggregate tax and benefit totals compared to government budget figures
</List.Item>
<List.Item>
Distributional impacts validated against administrative statistics
</List.Item>
<List.Item>
Tax and benefit calculators tested against official examples
</List.Item>
<List.Item>
Ongoing calibration to match the latest data from government sources
</List.Item>
</List>

<Text mt="sm">
Our UK model has achieved up to 80% lower aggregate error rates compared to
standard survey-based approaches, and our US Enhanced CPS represents a
significant improvement over public microdata for tax modeling.
</Text>
</>
),
},
]}
/>
</Box>

<Box mt="3xl">
<CardsWithHeader
containerTitle="Technical Documentation"
cards={[
{
title: 'US Model Documentation',
description:
'Technical details about the US Enhanced Current Population Survey (ECPS), tax and benefit calculators, and validation methodology.',
footerText: 'Enhanced CPS Documentation →',
onClick: () => navigate('/coming-soon'),
background: 'gray',
},
{
title: 'UK Model Validation',
description:
'Detailed information about the UK tax and benefit model, including data sources, calibration methodology, and validation results.',
footerText: 'UK Model Validation →',
onClick: () => navigate('/coming-soon'),
background: 'gray',
},
{
title: 'GitHub Repositories',
description:
'Access our open-source code repositories for all PolicyEngine models, including tax-benefit rules, data processing pipelines, and web interface.',
footerText: 'PolicyEngine on GitHub →',
onClick: () => window.open('https://github.com/PolicyEngine', '_blank'),
background: 'gray',
},
]}
/>
</Box>
</Container>
);
}
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