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) [Edward Elgar Publishing]

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 is to provide a map of the three development indicators for all the 12,435 segmentos of the country.

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.

:pencil: Projects & News

Stata client to the Povcalnet API

A tax-benefit model for Scotland

Search and download FAOSTAT bulk download files

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

Poverty Probability Index (PPI) Lookup Tables

R client for the World Bank APIs

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.

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 injury rates for the state.

Code to create tax filing units from the American Community Survey. Used to do simulation of federal tax policy change to evaluate changes in poverty rates.

Code for Analysis of Poverty Using Tax-Calculator

Identifying which households in Costa Rica have the highest need for social welfare assistance

Determining if Machine Learning algorithms can help classify individuals based on demographics and socio-economics drivers.

An R client for Census Bureau's Small Area Income and Poverty Estimates (SAIPE) API

The goSolve web platform

Tableau project from Udacity's Business Analytics Nanodegree

ADECOMP: Stata module to estimate Shapley Decomposition by Components of a Welfare Measure

SDG #1 No Poverty, Building a skill matching app for both the formal and informal sector to enhance employment and job creation.