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| <title>Complete .rac Format with Versioning</title> | |
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| font-family: 'SF Mono', 'Fira Code', monospace; | |
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| """ | |
| 85th Percentile Household Income in Los Angeles City | |
| Using 1-year ACS PUMS data for 2023 and 2024 | |
| LA City PUMAs identified from Census ACS API by name matching. | |
| These 23 PUMAs are explicitly labeled as LA City areas. | |
| Note: Some LA City areas may be in shared PUMAs (e.g., 03707, 03748) which | |
| include portions of other cities - these are excluded to avoid overestimation. | |
| """ |
Prepared for Vahid's meeting with ONS firm data team, December 2025
PolicyEngine is exploring building an OLG (Overlapping Generations) model for the UK, similar to OG-USA/OG-Core but with greater firm-level heterogeneity. We also want to expand our firm microsimulation capabilities for tax policy analysis (VAT, corporation tax, business rates).
This document outlines what firm-level data would be most valuable from ONS.
TL;DR: We've rebuilt GiveCalc as a standalone web application at givecalc.org. The free calculator now covers US federal and state taxes, UK Gift Aid, and tax years 2024-2026. Use it to find out how much your charitable donations actually cost after tax savings.
A year ago, I introduced GiveCalc as a Streamlit app on PolicyEngine's infrastructure. This Giving Tuesday, we're launching GiveCalc 2.0—rebuilt from the ground up with a faster React interface, expanded to cover UK Gift Aid, and now available at its own domain: givecalc.org.
The new version supports multiple income types (wages, self-employment, capital gains, dividends, interest), works on mobile, and lets you calculate for tax years 2024, 2025, or 2026.
| #!/usr/bin/env python3 | |
| """ | |
| PolicyEngine GitHub Organization Statistics | |
| Calculates repository count, contributor count, and fork count | |
| for use in grant proposals and documentation. | |
| Run with: python github_stats.py | |
| Requires: requests library (pip install requests) | |
| """ |
| # Simulated Referee Reports: Round 2 | |
| ## Beer Price Controls at Yankee Stadium (SSRN Working Paper) | |
| --- | |
| ## AUTHOR RESPONSE CHECKLIST | |
| | Referee | Issue | Status | | |
| |---------|-------|--------| | |
| | R1 | Quantify decomposition in abstract | ✅ DONE (111% intensive, -11% extensive) | |