This Course at MIT pages provide context for how the course materials published on OCW were used at MIT. They are part of the OCW Educator initiative, which seeks to enhance the value of OCW for educators.
This page focuses on the course 14.381 Statistical Method in Economics as it was taught by Prof. Anna Mikusheva in Fall 2013.
Statistical Method in Economics is part of the Economics Department’s sequence on Statistics and Econometrics. It provides an introduction to probability and statistics as background for advanced econometrics and introduction to the linear regression model. 14.381 highlights illustrations from economics and the application of these concepts to economic problems.
Note: 14.381 is divided into two sections and is co-taught by Prof. Mikusheva and another instructor. The Fall 2013 version of 14.381 on OCW focuses on the first part of the course. See the 2006 offering of 14.381 to learn about the second part of the course.
The main objective of this course is to develop the basic skills needed to do statistical analysis of data. The course aims to provide students with techniques and receipts for estimation, hypothesis testing and confidence set construction.
Every fall semester
The students' grades were based on the following activities:
All of the students were Ph.D. students.
Almost all of the students are Economics Ph.D. students, though some Ph.D. students from the Sloan School of Management, political science, and engineering enroll.
During an average week in the spring semester, students were expected to spend 14.5 hours on the course, roughly divided as follows:
The students had six problem sets to work on outside of class.