3 papers
econ.EM2025
Orthogonality-Constrained Deep Instrumental Variable Model for Causal Effect Estimation
Shunxin Yao
OC-DeepIV is a neural network model designed for estimating causal effects. It characterizes heterogeneity by adding interaction features and reduces redundancy through orthogonal…
econ.EM2025
Economic Causal Inference Based on DML Framework: Python Implementation of Binary and Continuous Treatment Variables
Shunxin Yao
This study utilizes a simulated dataset to establish Python code for Double Machine Learning (DML) using Anaconda's Jupyter Notebook and the DML software package from GitHub. The r…
cs.SE2025
Practical programming research of Linear DML model based on the simplest Python code: From the standpoint of novice researchers
Shunxin Yao
This paper presents linear DML models for causal inference using the simplest Python code on a Jupyter notebook based on an Anaconda platform and compares the performance of differ…