Build econometric understanding through this Python companion to Cameron’s Analysis of Economics Data. Seventeen chapters connect statistical foundations, regression, panel data, and causal inference with real-data notebooks that run in the browser. Visual summaries, slides, quizzes, videos, podcasts, and AI tutors provide varied ways to explore the concepts and reinforce practical skills.
Through the lens of a multiscale geographically weighted regression (MGWR) and an updated inference framework, we assess the spatial scale at which political and socioeconomic factors affect violence.
A geocomputational notebook to monitor subnational human development using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, and spatial inequality.