nl-causal: nonlinear causal inference based on IV regression in Python

Graphical Instrumental Variable Estimation and Testing

R & STATA code for (1) PPML gravity model (IV generation), (2) panel fixed effect regression (1st stage regression), and (3) local projection method

2SLS IV regression with Python

COVID-19 mortality rate (Python). Original empirical study submitted for the Applied Predictive Modeling course during my second semester at HKBU - Master of Science in Data Analytics and Business Economics.

Casual relationship between health insurance coverage and BMI.

[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.

Conducted a comprehensive research project focused on regression analysis and modeling to explore the relationship between income and education.

Análises quantitativas em Marketing pela estimação de modelos tobit, probit, lingering e current effects.

Two-Stage Least-Squares Regression With Diagnostics

IV analysis assessing the causal effect of immediate skin-to-skin contact on exclusive breastfeeding in R.

Code examples for IV, 2SLS, and 2SRI for Multilevel/Hierarchical Models. Designed for masters-level students in statistics/biostatistics/causal inference/data science, or PhD students and postdocs from an allied field needing applied statistics examples to help with a project.

Instrumental Variables Approach to Cross-Country Income Differences

[Python] Building a demand model and correcting for reverse causation with 2-stage least squares regression (OLS in statsmodels, IV2SLS in linearmodels)

Python tutorials, lecture materials, and assignments for the Econometrics course taught to Master's students in Economics at Allameh Tabataba'i University.