This regression analysis is used to predict the LBM (lean body mass) of athletes and whether or not there is a difference in LBM for males and females. The analysis uses the following explanatory variables: Sex (0: males, 1: females), Ht (height in cm), Wt (weight in kg), WCC (white cell count), Hg (hemoglobin) amnd Hc (hematocrit).
[Python] Building a demand model and correcting for reverse causation with 2-stage least squares regression (OLS in statsmodels, IV2SLS in linearmodels)
Full Python implementation of Aymeric et al.'s (2025) methodology for investigating the causal impact of parental environment on student achievement. Implements OLS regression and IV-2SLS instrumental variable estimation with school/year fixed effects, cluster-robust standard errors, & systematic diagnostics. Reproduces 33 models from the study.
Estimating the effect of Covid-19 Precautions on traffic accidents in Taoyuan City with Regression Discontinuity Design using Python PanelOLS model.
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