Stata package
pip
Access global poverty and inequality estimates from Stata.
View packageR. 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
and writing.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 & projects
From questions to code.
I develop software packages in R, Python, and Stata, alongside plugins, interactive tools, and agentic skills. Together, they support research, reproducible analysis, reading, and writing.
R package
pipr
Bring the Poverty and Inequality Platform into an R analysis.
View packageResearch workflows
Compound GPID
Agent-assisted workflows for research and data science.
Visit project websiteAgentic skills
ClickUp Skills
Connect coding work with ClickUp tasks and GitHub.
Visit project websiteInteractive study tools
Book Study Atlas
Prompts and NotebookLM workflows for studying books in depth.
Visit project websiteWriting plugin
Voice Forge plugin
Train and apply a personal writing voice with AI assistance.
Visit project websiteA selection from my portfolio. Project websites include documentation; source availability varies.
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?