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

An open-source static tax-benefit microsimulation model for the UK.

R client to the PIP API

Useful Stata routines

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

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

R client to the Povcalnet API

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.

📝 Projects & News

A tax-benefit model for Scotland

Stata client to the Povcalnet API

Poverty Probability Index (PPI) Lookup Tables

Search and download FAOSTAT bulk download files

R client for the World Bank APIs

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

The Data set is picked from Kaggle which describes the Situation of the Multidimensional Measures around the globe. In this Analysis, I have tried to used Pandas, seaborn, and Ipywidgets for the End to End Analysis of the Subject.

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