LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
Causal Inference Using Quasi-Experimental Methods
☆20Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Causal-Inference-Using-Quasi-Experimental-Methods
- Causal Inference in Python☆38Updated 3 months ago
- Code for blog posts.☆17Updated last year
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated last year
- Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"☆32Updated 5 months ago
- Notes for short course on econometrics in Stan☆10Updated 7 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆65Updated 9 years ago
- Unstructured Code with interesting analysis☆35Updated last month
- Packages of Example Data for The Effect☆131Updated last week
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆24Updated last year
- ☆17Updated 2 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated last year
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆18Updated 6 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆57Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 5 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin☆15Updated 2 years ago
- Minimax Estimation of Conditional Moment Models☆29Updated last year
- Fit Sparse Synthetic Control Models in Python☆79Updated 7 months ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆12Updated 4 years ago
- A Python 3.7 package for the econometric analysis of networks☆21Updated last month
- Approximately balanced estimation of average treatment effects in high dimensions.☆33Updated 3 years ago
- Machine learning based causal inference/uplift in Python☆59Updated 11 months ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆28Updated 8 years ago
- A machine learning toolkit for economists☆18Updated 8 years ago
- ☆14Updated last year
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 5 years ago