Y2 - Introduction to Econometrics

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1. Non linear regression functions
2. 7.1. Example: Returns to education and experience
3. 7.2. Why non-linear regression functions?
4. 7.3. Non-linearity: Effect depends on value of variable
5. 7.4. Non-linearity: Natural logarithmic transformation of dependent variable
6. 7.5. Non-linearity: Other natural logarithmic transformation
7. 7.6. Non-linearity: Interaction effects
8. 7.7. When does OLS fail?
9. 7.8. Exercise- nonlinear regression functions
10. L8: Internal and external validity
11. 8.1. Internal validity of causal models
12. 8.2. Omitted variables bias
13. 8.3. Errors-in-variables
14. 8.4. Sample selection bias
15. 8.5. Simultaneous causality
16. 8.6. Functional form misspecificationand Inconsistent standard errors
17. 8.7. Internal and external validity for forecasting
18. 8.8. Exercise