Stata / Poverty data
pip
Access the World Bank's Poverty and Inequality Platform directly from Stata.
R. Andrés Castañeda Aguilar
Economics and
data science for
development
I’m a Senior Economist and Data Scientist at the World Bank. I use data to better understand poverty and inequality, inform public debate, and improve public policy.
Poverty & inequalityReproducible researchR, Python & Stata
A builder's approach.Senior Economist / Data Scientist
The World Bank
01 / Selected research
Looking beyond the numbers.
2022
2018
2012
The World Bank Economic Review
Nowcasting Global Poverty
Estimating poverty between household survey rounds.
World Development
A New Profile of the Global Poor
Understanding who the global poor are and the circumstances they face.
Defence and Peace Economics
Sovereign risk and armed conflict
An event-study of the relationship between conflict and sovereign risk in Colombia.
02 / Tools for research
From questions to code.
I develop packages and tools in R, Python, and Stata. Here are a few examples from my work on poverty data and reproducible analysis.
03 / Notes & methods
Working ideas, shared.
A series in progress
Open Brain:
a database for my thoughts
Building a personal knowledge system, from Postgres and semantic search to capturing ideas on the go.
Start the seriesResearch is a conversation.
Let's compare notes.
Interested in poverty research, data tools, evidence, or responsible AI?