Introduction to statistical method in economics
Bachelor's degree
In Maynard (USA)
Description
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Type
Bachelor's degree
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Location
Maynard (USA)
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Start date
Different dates available
This course is a self-contained introduction to statistics with economic applications. Elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other applications of statistical tools to economic data. It also provides a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed in the further study of econometrics and provide basic preparation for 14.32. No prior preparation in probability and statistics is required, but familiarity with basic algebra and calculus is assumed.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Probability
- Algebra
- Calculus
- Economics
- Statistics
Course programme
[Learning]...There is nothing like having misunderstood something to really understand it, and there is nothing like having seriously misunderstood it to really, really understand it.
—William Thomson
Lectures: 2 sessions / week, 1.5 hours / session
Recitations: 1 session / week, 1 hour / session
To provide a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed in the further study of econometrics and provide basic preparation for 14.32. No prior preparation in probability and statistics is required, but familiarity with basic algebra and calculus is assumed.
The course grade will be based on three non-cumulative exams and approximately nine problem sets.
The exams will be closed book. The problem sets will typically be handed out on Tuesday and due the following Tuesday . You are expected to complete the problem sets on your own and without consulting old problem set solutions - it will clearly be in your interest to understand all of the material on them. Failing to return at least 7 problem sets will result in a maximum final letter grade of D. Regular attendance at the recitation is strongly recommended, as the TA will discuss problem sets, clarify lecture material, and provide other useful guidance.
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Introduction to statistical method in economics