The PolicyEngine US Python package contains a rules engine of the US tax-benefit system, and microdata generation for microsimulation analysis.

• UpdatedMar 18, 2025
• Python

A comparative assessment of machine learning classification algorithms applied to poverty prediction

• UpdatedSep 28, 2018
• Jupyter Notebook

The UK's only open-source static tax-benefit microsimulation model.

• UpdatedMar 15, 2025
• Python

Useful Stata routines

• UpdatedMar 4, 2025
• Stata

R client to the PIP API

• UpdatedFeb 28, 2025
• R

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 …

• UpdatedDec 7, 2021
• TeX

R client to the Povcalnet API

• UpdatedJan 10, 2023
• R

Awesome papers on Earth Observation (EO), Machine Learning (ML), and Causal Inference (CI)

• UpdatedJan 9, 2025
• TeX

A tax-benefit model for Scotland

• UpdatedMar 18, 2025
• Julia

Stata comand that automates the download of the modules of the National Household Survey (ENAHO in spanish) conducted by the National Institute of Statistics and Informatics of Peru each year.

• UpdatedMar 15, 2025
• Stata

📝 Projects & News

• UpdatedMar 17, 2025
• HTML

A package with the tools needed to develop scripts with LIS data.

• UpdatedMar 17, 2025
• R

Search and download FAOSTAT bulk download files

• UpdatedFeb 3, 2020
• R

Poverty Probability Index (PPI) Lookup Tables

• UpdatedMar 13, 2025
• R

Stata client to the Povcalnet API

• UpdatedApr 19, 2022
• Stata

Data on elevated blood lead level test results for St. Louis, MO

• UpdatedAug 20, 2019
• R

A Morpheus adapter that loads datasets via the World Bank Open Data API

• UpdatedJan 6, 2018
• Java

R client for the World Bank APIs

• UpdatedMar 18, 2025
• R

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 …

• UpdatedOct 31, 2023
• R

Attempting to analyse and estimate poverty indicators at the Indian district level. First ever district level dataset with a poverty indicator.

• UpdatedJun 26, 2024
• Jupyter Notebook