Sumários

A13

2 Novembro 2017, 10:00 João Nicolau

Exercícios cap. 4: 3, 4, 5, 6, 8


A12

31 Outubro 2017, 10:00 João Nicolau

       4.4 Prediction and Forecasting

          4.4.1 Prediction in a log Model

       4.5 Multicollinearity [Wooldridge]


A11

26 Outubro 2017, 10:00 João Nicolau

    4.2.5 The Gauss-Marvov Theorem

          4.2.6 Estimating Var (bjX)

          4.2.7 The Normality Assumption.

          4.2.8 Further Aspects on Residual Regression [Goldberger]

       4.3 Maximum Likelihood Estimation

          4.3.1 The Maximum Likelihood Principle

          4.3.2 Conditional versus Unconditional Likelihood

          4.3.3 The Log Likelihood for the Regression Model


A10

24 Outubro 2017, 10:00 João Nicolau

        Exercício 8 f)

          4.2.2 Bias Caused by Omission of Relevant Variables

          4.2.3 The Variance of b.

          4.2.4 Decomposition of Var (bk) (ilustrado com o programa prog03.gss)


A9

19 Outubro 2017, 10:00 João Nicolau

Exercicios 1-8 do cap. 3