The course discusses the mathematical foundations of
basic statistical tools that are frequently used in econometric analysis.
The course is a pre-requisite for the Econometrics
I course later in the fall semester. Students passing the exam should be
familiar with the basic statistical concepts (samples, estimators, properties of
estimators, confidence intervals, hypothesis tests, t-statistics and p-values) used
intensively in econometrics, so that the later course could focus on econometric
issues instead of the technicalities.
• Basic calculus (at the level of pre-session maths)
• Basic linear algebra (at the level of pre-session maths)
A good understanding of the following concepts: estimators, con dence intervals, hypothesis tests, test statistics,p-values
1. There will be five problem sets during the term with a total weight of 25% (5% each).
2. There will be a final exam for a total weight of 75%
students must achieve at least 60 percent (AND at least 50 percent from the problem sets and 50 percent in the exam) to pass.
0-59: F (fail)