The PolicyEngine US Python package contains a rules engine of the US tax-benefit system, and microdata generation for microsimulation analysis.
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Updated
Nov 21, 2024 - Python
The PolicyEngine US Python package contains a rules engine of the US tax-benefit system, and microdata generation for microsimulation analysis.
A comparative assessment of machine learning classification algorithms applied to poverty prediction
The UK's only open-source static tax-benefit microsimulation model.
Useful Stata routines
The aim of the analysis is to create a high resolution map of poverty, income and literacy for El Salvador. The data on these three development indicators come from the 2017 household survey Encuesta de Hogares de Propositos Multiples (EHPM). While the survey data are only available for 1,664 segmentos, the lowest administrative units, the goal …
A tax-benefit model for Scotland
Directory of papers on Earth Observation (EO), Machine Learning (ML), and Causal Inference (CI)
📝 Projects & News
Tools for computing inequality estimates in the LIS Data Center LISSY environment.
Poverty Probability Index (PPI) Lookup Tables
Search and download FAOSTAT bulk download files
R client for the World Bank APIs
Stata client to the Povcalnet API
Data on elevated blood lead level test results for St. Louis, MO
A Morpheus adapter that loads datasets via the World Bank Open Data API
Repository of data, code and supporting materials to repeat analysis performed by ODOT Research Unit documenting pedestrian injury disparities in Oregon. The standardized scoring uses an objective approach to categorizing Census tracts based on race, ethnicity, and poverty. These categories are then used to calculate population-based pedestrian …
Attempting to analyse and estimate poverty indicators at the Indian district level. First ever district level dataset with a poverty indicator.
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