sametrie's repositories
are213
PhD Applied Econometrics class taught at UC Berkeley
SpatialRDD
SpatialRDD
LearningPoverty
Learning Poverty: an indicator with global coverage that combines schooling and learning.
ethiopia-rsdp-ie
Replication Package for: The Impact of Ethiopia's Road Sector Development Program: Evidence from Satellite Data
Stata_guide
Stata instructions for research projects
DHS-Indicators-Stata
Stata code to produce Demographic and Health Survey Indicators
synth_vax
Did Ohio’s Vaccine Lottery Increase Vaccination Rates? A Pre-Registered, Synthetic Control Study. Working paper: https://osf.io/26n9a/
statapack
A collection of handy Stata programs for empirical analyses
staggered_did
Stata scripts running recent staggered DID estimators on simulated dataset
cheatsheets
RStudio Cheat Sheets
COVID19-European-Regional-Tracker
Tracking the spread of COVID-19 across NUTS3 and NUTS2 regions in European countries.
did_imputation
Event studies: robust and efficient estimation, testing, and plotting
mapping-education-deserts
This is a companion repository of code for the paper The Last Mile in School Access: Mapping Education Deserts in Developing Countries, by Daniel Rodriguez-Segura and Brian Heseung Kim. The article is available open-source via Development Engineering here: https://doi.org/10.1016/j.deveng.2021.100064
pretrends
R package for power calculations and visualization for pre-trends tests
ph-poverty-mapping
Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
EC524W20
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
tiffany
A command-line tool for rendering to TIFF any Google Static Maps image
Math-for-Programmers
Source code for the book, Math for Programmers
py-ecomplexity
Python package to compute economic complexity and associated variables
DScourseS20
ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2020)
stata-pylearn
Supervised learning algorithms in Stata
lectures-1
Lecture material for Big Data in Economics (EC 410/510)