Learning Outcomes:
Upon successful completion of the course, a student will be able to:
1. perform a linear regression (both theory and practice)
2. to formally test statistical hypotheses and to evaluate empirical economic research.
3. detect possible issues in the analysis
4. have an appreciation of the strength and weaknesses of econometrics and its use in the evaluation of competing economic theories and alternative policies
Indicative Module Content:
Cases & Topics (may change):
1. Are women paid less than men? (intro to statistics)
2. What is the MPC? (Simple regression)
3. House prices in Dublin (Multivariate regression)
4. Does China have constant returns to scale?
5. How do Lawyers set fees?
6. Properties of OLS
7. Problems with OLS
8. Doing an econometric project
9. Endogeneity
10. TSLS
11. Binary dependant variables (maybe)