Exploring accessible methods and data to estimate poverty

A collection of standard measures of poverty and inequality for microsimulation models.

Interpreting wealth distribution via poverty map inference using multimodal data

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

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

Applying d3 framework for handling and exploring (Javascript/Python) Eurostat data and metadata.

Statistical analyses in R and Python of remote sensing data to predict wealth and poverty.

This work pertains to detailed analysis, through survey in and around Kolkata region, of the existing Multi-Dimensional Poverty Index used by India to calculate the level of poverty at individual, state and nation level.

Code used for my undergraduate thesis "Income Inequality in Europe and Russia: Cross-Countries Analysis"

Analisando dados da PNAD Contínua para descobrir a proporção, o hiato e a severidade da pobreza infantil no Brasil