R. Andrés Castañeda Aguilar

Senior Economist / Data Scientist

Data Group · Development Economics · The World Bank

R Stata Python SQL Poverty Analysis PIP Platform Open Data

About

I am an Economist/data scientist in the Data Group of the Department of Development Economics at the World Bank. Over the last decade I have worked on socioeconomic analysis in topics related to poverty, welfare distribution, inequality of opportunities, development economics, and conflict economics.

I am particularly interested in the analysis of data for policy dialog, statistical and methodological research, and the development of computational tools in Stata and R to make socioeconomic analysis intuitive, easier, and faster.

Recent Posts

Add “and” at the end of character vector

R

efficiency

A small R function to properly concatenate character vectors with an ‘and’ separator

A nice template for your do-files: dotemplate

Stata

efficiency

The dotemplate Stata command creates structured templates for do-files and ado-files so you can start your code organized from the beginning

Working with GitHub and Stata

Stata

How to configure Stata’s adopath to automatically load all your ado-files from GitHub working directories

Dependencies: making sure your ado/do-files run in any computer

Stata

programming

A code snippet to automatically install and update required SSC commands at the beginning of your do-files

Featured Projects

wbpip

R package interfacing the World Bank Poverty and Inequality Platform (PIP) API to query global poverty and inequality estimates.

pip

Stata package for accessing PIP (Poverty and Inequality Platform) data. Simple command-line interface to query global poverty estimates.

joyn

R package for data merging with diagnostic output. Inspired by Stata’s merge command, providing detailed merge reports and diagnostics.

All projects →