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nl-causal: nonlinear causal inference based on IV regression in Python
2SLS IV regression with Python
Casual relationship between health insurance coverage and BMI.
[Python] Adopted 2SLS and Instrument Variable to solve the endogeneity problem in predicting train ticket price.
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)
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.