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Curricular information is subject to change
Upon successful completion of the course, a student will have the ability to perform linear regression; to formally test statistical hypotheses and to evaluate empirical economic research. In addition, he/she will have an appreciation of the strength and weaknesses of econometrics and its use in the evaluation of competing economic theories and alternative policies.
| Student Effort Type | Hours |
|---|---|
| Lectures | 22 |
| Computer Aided Lab | 10 |
| Autonomous Student Learning | 75 |
| Online Learning | 22 |
| Total | 129 |
Students are required to have completed ECON 20040 Statistics for Economists, MIS 10010
Quantitative Analysis for Business, or an equivalent module on Basic Statistics and Probability.
It is recommended that students have an understanding of the basic Principles of Microeconomics and Principles of Macroeconomics such as ECON 10010 & ECON 10020
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment: This assignment will require students to analyse particular datasets using Stata & answer a number of questions based on the results. Students may work in groups of up to three (3) people. | Week 7 | n/a | Graded | No | 20 |
| Project: Students will write a project analysing one of a given set of datasets. Each student works individually. | Coursework (End of Trimester) | n/a | Graded | No | 80 |
| Remediation Type | Remediation Timing |
|---|---|
| Repeat | Within Two Trimesters |
• Group/class feedback, post-assessment
Advice will be provided to the class on what made for good and not-so-good projects/assignments with relevant examples.