This page mostly has reference materials and tutorials used in courses or workshops that I have run.

Causal inference

Machine Learning Estimation of Heterogeneous Treatment Effects

A short tutorial on how to implement in R a simple version of a data-driven approach to uncovering heterogeneous treatment effects proposed by Athey and Imbens (2015). The tutorial can be found here.

An official package has now been released by Susan Athey and friends and can be found here.

Summarizing TIFF Data by Polygons in Shapefiles

A brief introduction to how to trim and spatially summarize data in tiff format by polygon shapefiles. Useful for averaging night time luminosity data by political district, for example.

Downloading Facebook and Twitter Data using Python

Put together for a workshop on January 29, 2016, this tutorial and accompanying example scripts provide a guide to downloading Facebook and Twitter data using their APIs. Done entirely in Python, this tutorial takes advantage of several Python modules to ease data collection and storage.

LUMS R Course

Class .Rmd Files

Class .R files


Quality of Government

Pakistan 2018 candidate level election data

CricInfo batting data

PK Supreme Court Survey