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Statistical Method in Economics

This course is divided into two sections and is co-taught by two instructors. This version is Part II. Part I, from the fall of 2013,provides an introduction to statistical theory.The second part of the course prepares students for the remainder of the econometrics sequence. The emphasis of the course is to understand the basic principles of statistical theory. A brief review of probability will be given; however, this material is assumed knowledge. The course also covers basic regression ana...

Start Date: Sep 01, 2006 Topics: Economics
Cost: Free

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Statistical Method in Economics's Full Profile

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Description

This course is divided into two sections and is co-taught by two instructors. This version is Part II. Part I, from the fall of 2013,provides an introduction to statistical theory.The second part of the course prepares students for the remainder of the econometrics sequence. The emphasis of the course is to understand the basic principles of statistical theory. A brief review of probability will be given; however, this material is assumed knowledge. The course also covers basic regression analysis. Topics covered include probability, random samples, asymptotic methods, point estimation, evaluation of estimators, Cramer-Rao theorem, hypothesis tests, Neyman Pearson lemma, Likelihood Ratio test, interval estimation, best linear predictor, best linear approximation, conditional expectation function, building functional forms, regression algebra, Gauss-Markov optimality, finite-sample inference, consistency, asymptotic normality, heteroscedasticity, and autocorrelation.

Details

  • Dates: Sep 01, 2006 to Dec 20, 2006
  • Days of the Week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
  • Level of Difficulty: Beginner
  • Size: Massive Open Online Course
  • Instructor: Prof. Victor Chernozhukov
  • Cost: Free
  • Institution: MIT OCW
  • Topics: Economics

Provider Overview

About MIT OCW: MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.

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