Statistical Method in Economics (Part I)
This MIT OpenCourseWare course covers the statistical theory underlying econometrics, taught at the graduate level. Part I builds the mathematical foundation: normal distribution, limit theorems, Bayesian inference concepts, and hypothesis testing. Materials include lecture notes and problem sets developed for MIT's economics curriculum, following the standard OCW model of free self-study access to course content without instructor interaction or a credential. The course is meant as a rigorous grounding for students who will later apply these tools to economic data and models, emphasizing proofs and derivations over software exercises. No cost is attached to accessing the material, consistent with MIT's OpenCourseWare mission, though there is no certificate offered. Suited to students with a solid calculus and probability background looking to strengthen their statistical toolkit before tackling applied econometrics.