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econometrics's Projects

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

causal-inference-for-beginning-undergraduates icon causal-inference-for-beginning-undergraduates

An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regression. Light on maths, heavy on intuition and practical examples.

cdifdif icon cdifdif

Estimating Difference-in-Differences in the Presence of Spillovers -- Algorithm in Stata, R and MATLAB

codechella icon codechella

Data, Code and other material for CodeChella concert

did icon did

Keeping track of what is going on with the latest DiD innovations.

did_handbook icon did_handbook

This repository summarizes the traditional and recently proposed estimators for the difference-in-differences specifications.

dse2019 icon dse2019

Teaching materials from DSE2019 summer school at Chicago Booth

dse2023 icon dse2023

Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

ec421s19 icon ec421s19

Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Ed Rubin

ec421w19 icon ec421w19

Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin

ec524w20 icon ec524w20

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

ec524w21 icon ec524w21

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2021 Taught by Ed Rubin

ec607s21 icon ec607s21

Causal-inference oriented doctoral econometrics course at UO

economicgrowthcourse icon economicgrowthcourse

This repository contains all the materials from the Economic Growth course I taught at Brown in Summer 2021: syllabus, lecture notes, problem sets, and more.

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