# Causal-Inference-Using-Quasi-Experimental-Methods

**Repository Path**: jefeerzhang/Causal-Inference-Using-Quasi-Experimental-Methods

## Basic Information

- **Project Name**: Causal-Inference-Using-Quasi-Experimental-Methods
- **Description**: Causal Inference Using Quasi-Experimental Designs
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-03-18
- **Last Updated**: 2022-05-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Project Summary

This repository includes the most popular quasi-experimental designs for causal inference. I've put code examples and the links to the original posts. Please combine both to have a better understanding of each design. 

This is an on-going project, and I'll add more quasi methods as it goes. 

## Quasi-experimental Methods
1. Regression Discontinuity Design: The Crown Jewel of Causal Inference, https://towardsdatascience.com/the-crown-jewel-of-causal-inference-regression-discontinuity-design-rdd-bad37a68e786

2. A Practitioner’s Guide To Interrupted Time Series, https://towardsdatascience.com/what-is-the-strongest-quasi-experimental-method-interrupted-time-series-period-f59fe5b00b31

3. A Practitioner’s Guide To Difference-In-Differences Approach: Wage Goes Up, Employment Goes Down?, https://towardsdatascience.com/does-minimum-wage-decrease-employment-a-difference-in-differences-approach-cb208ed07327

4. Causal Inference Using Synthetic Control: The Ultimate Guide, https://towardsdatascience.com/causal-inference-using-synthetic-control-the-ultimate-guide-a622ad5cf827

## About the Author

Leihua Ye is a Ph.D. Researcher at the UC, Santa Barbara. He has received extensive trainings in Causal Inference, Research Design, Machine Learning, Big Data, and Machine Learning. 

He receives his B.A. and M.A. from the Uni. of Nottingham. 

## Contact

Email: yeleihua@gmail.com

LinkedIn: www.linkedin.com/in/leihuaye

Tech Blog: https://medium.com/@leihua_ye