a) Complete the table below Case 1. 2. 3. 4. b) c) i. Regression Specification yi-Bo...

 

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a) Complete the table below Case 1. 2. 3. 4. b) c) i. Regression Specification yi-Bo + Brin(x) + u₁ iny - Bo+ Bi(xi) + u iny. Bo+ Brin(xi) + u₁ Yi Bo+Bi(1/x) + uj QUESTION THREE iv. Interpretation of ₁ Prove the Gauss-Markov assumptions State the four asymptotic properties of OLS estimators (10 marks) (10 marks) (5 marks) [Total: 25 Marks] Briefly explain what is meant by linearity [3 marks] Briefly explain the different types of data and give an example in each [Hint: time series, cross sectional and Panel data] [6 marks] Briefly define and explain the differences between the ordinary least squares and Maximum Likelihood estimation methods [6 marks] State ANY SIX assumptions of the OLS method of estimation. [10 marks] [Total: 25 Marks] a) Complete the table below Case 1. 2. 3. 4. b) c) i. Regression Specification yi-Bo + Brin(x) + u₁ iny - Bo+ Bi(xi) + u iny. Bo+ Brin(xi) + u₁ Yi Bo+Bi(1/x) + uj QUESTION THREE iv. Interpretation of ₁ Prove the Gauss-Markov assumptions State the four asymptotic properties of OLS estimators (10 marks) (10 marks) (5 marks) [Total: 25 Marks] Briefly explain what is meant by linearity [3 marks] Briefly explain the different types of data and give an example in each [Hint: time series, cross sectional and Panel data] [6 marks] Briefly define and explain the differences between the ordinary least squares and Maximum Likelihood estimation methods [6 marks] State ANY SIX assumptions of the OLS method of estimation. [10 marks] [Total: 25 Marks]

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