Get Writing Help
WhatsApp
    Skip to content
Start Your Order
Uncategorized

The ordinary least squares (OLS)

admin 1 min read

 

 

Question 1

Consider the simple linear regression model:

a) Setup the minimisation problem to derive the ordinary least squares (OLS) estimator for and use that to find the formula of OLS estimator. [20 marks]

b) State the Gauss Markov Theorem including all the assumptions and the meaning of the acronym BLUE. [15 marks]

c) What are the implications for OLS estimation if heteroskedasticity exists? [5 marks]

d) State the formula to calculate the standard error of the OLS estimate of when the error terms are homoskedastic. State the formula to calculate the standard error of the OLS estimate of when the error terms are heteroskedastic. [10 marks]

 

 

The post The ordinary least squares (OLS) first appeared on COMPLIANT PAPERS.

admin Academic Writer & Editor
Limited Offer     Get 25% off your first order — use code STUDYLINK25 at checkout    Claim Now