Brad DeLong's Grasping Reality • 123 implied HN points • 21 Jan 26
- The course is a quantitative, long-run tour of global economic history covering everything from early humans and the rise of agriculture to industrialization, globalization, and modern attention/info/biotech economies, with a focus on causes of growth, inequality, and institutions.
- The pedagogy stresses hands-on data-science methods—sampling, estimation, forecasting, simulation, and counterfactual modeling—designed to let both humanists and quants learn to model parts of the world economy without prior coding experience.
- There are firm expectations: mandatory pre-class readings and a short assignment answering five questions (including on using AI/LLMs), and prompt submission is required to shape the next class session.