Two-Stage Least-Squares Regression With Diagnostics

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.

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

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

2SLS IV regression with Python

Casual relationship between health insurance coverage and BMI.

Graphical Instrumental Variable Estimation and Testing

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

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

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

For master’s students in mathematical economics, focusing on econometric methods and applications.