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aec

Visualizing data behind the Atlas of Economic Complexity

africa_poverty

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

applied_metrics

A PhD course in Applied Econometrics and Panel Data

are213

PhD Applied Econometrics class taught at UC Berkeley

atlas-data

Repository for data / data processing related to The Atlas

atlas-economic-complexity

The Atlas online is a powerful interactive tool that enables users to visualize a country’s total trade, track how these dynamics change over time and explore growth opportunities for more than a hundred countries worldwide.

brewscheme

Stata package for creating user-defined scheme files using research-based color palettes

ccff_2022_wp

cheatsheets

RStudio Cheat Sheets

covid19

Online Survey Experiment Coronavirus Pandemic Shock, Economic Preferences and Belief Updating

covid19-european-regional-tracker

Tracking the spread of COVID-19 across NUTS3 and NUTS2 regions in European countries.

d3plus_comtrade_workshop

devaccess

dhs-indicators-stata

Stata code to produce Demographic and Health Survey Indicators

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

dscourses20

ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2020)

ec524w20

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin

eda

Stata Program for Automated Exploratory Data Analysis program

ethiopia-rsdp-ie

Replication Package for: The Impact of Ethiopia's Road Sector Development Program: Evidence from Satellite Data

experimental-methods-oxford-2021

flp

learningpoverty

Learning Poverty: an indicator with global coverage that combines schooling and learning.

lectures

Lecture notes for EC 607

lectures-1

Lecture material for Big Data in Economics (EC 410/510)

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

math-for-programmers

Source code for the book, Math for Programmers

mcpanel

Matrix Completion Methods for Causal Panel Data Models

mixtape

Data files for Causal Inference: The Mixtape

nyu-econ-370

Quantitative Economics with Python Course (NYU) Spring 2016