Tutorial

26 Setembro 2022, 10:30 • Adriana Cornea-madeira

We did problems 7 and 8 from Chapter 2 and problem 1 from Chapter 3 of Wooldridge.

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Lecture

23 Setembro 2022, 10:00 • Adriana Cornea-madeira

We discuss about the covariance matrix of the OLS estimators. We derived the variance of the OLS estimator for the slope in the simple linear regression model. We proves the Gauss-Markov Theorem.

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Lecture

22 Setembro 2022, 10:00 • Adriana Cornea-madeira

We discussed about the variance of the OLS estimators in misspecified models and about different ways of incorporating non-linearities (the log-linear model, linear-log model and the log-log model). We also went through several examples for each of these models and discussed the interpretation of the slope parameter. We discussed about the normal distribution of the OLS estimator (and the underlying assumptions) and the importance of this results for hypothesis testing.

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Lecture

20 Setembro 2022, 10:00 • Adriana Cornea-madeira

We started to discuss the multiple linear regression model and how to interpret its parameters, including the Frisch-Waugh result. We showed how to decompose the total sum of squares, and we discussed the coefficient of determination.

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Lecture

19 Setembro 2022, 10:30 • Adriana Cornea-madeira

We proved the unbiasedness of the OLS estimators in the case of the simple linear regression model. We discussed the assumptions needed for this proof. We discussed what happens if you include too many of too few variables in the regression. Finally, we discussed the different components of the variance of the OLS estimators.

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