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First question:The model: Y4 = Bo + B2C+ + ut, t = 1,2,.....n, is an example of a(n): a) Autoregressive conditional heteroscedasticity modelSecond question:Consider a linear model to explain monthly beer consumption: | Beer=Bo +Biinc +B2 price +B3educ +B4 female +u E(ulinc,price,e

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Answer #1

QUESTION 1

This is a static model. That is because it contains no lagged terms of the dependent variable Y in the right hand side to be called an autoregressive model, and has no lagged terms of the independent variable C in the right hand side of the equation to be called a distributed lag model.

QUESTION 2

The error term becomes homoskedastic when a Weighted Least Squares transformation is used. It can be obtained in the following way -

1 Beer = Pot BiQne) AB, Price) + 83. (edu). + BAC Female) & ui * Ui = Bere-Bo-Bilane) - B2 (price) - Bg (Edu) - BA (Fernate)

The resulting error terms are homoskedastic.

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First question:Second question: The model: Y4 = Bo + B2C+ + ut, t = 1,2,.....n, is...
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