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This report investigates delivery lead times in Brazilian e-commerce using advanced multivariate statistics, focusing on variance decomposition, key drivers of delivery performance, and robustness of findings. Utilizing the Olist dataset, the study reveals significant seller and state-level heterogeneity, with improved model fit through the inclusion of shipment-regime clusters. The research aims to demonstrate the application of statistical methods to analyze clustered and skewed data in e-commerce logisti

Author

tramanh.hoang0607

Language

EN