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Consider the model:, where var(ui) = (i.e. there is heteroscedasticity in the model). Assume that the error variance is proportional to Xi, i.e.,. What would be the appropriate transformation of the model in this case in order to ensure that the error variance becomes homoscedastic?

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MCQs on Econometrics, which is the use of statistical methods to develop theories or test existing hypotheses in economics or finance. 
 


Consider the model:<br><img src='https://www.fatskills.com/images2/GradExams/977EF7EE-4F73-4E0D-A37B-DB65353BD848.png' height='18' width='163'/>, where var(u<sub>i</sub>) =<br><img src='https://www.fatskills.com/images2/GradExams/07513AB9-D3E5-4F96-9303-2725668C244F.png' height='22' width='19'/> (i.e. there is heteroscedasticity in the model). Assume that the error variance is proportional to Xi, i.e.,<br><img src='https://www.fatskills.com/images2/GradExams/6B3C743E-5EC5-4DB8-AB70-D9A25A50DE20.png' height='22' width='84'/>. What would be the appropriate transformation of the model in this case in order to ensure that the error variance becomes homoscedastic?





 
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