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Consider the model: Earnings = β1 + β2 Schooling + β3 Age + u.The standard errors appear in parentheses. Cov(Age, Schooling) = 0.47. The first column of the table gives the result of a multiple regression on Schooling and Age. The estimated coefficients for the multiple regression model are both significantly different from zero at a very high significance level. The second and third columns are regressions with one variable only. What does the value of R2 in the second and third columns indicate?

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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: Earnings = β<sub>1</sub> + β<sub>2</sub> Schooling + β<sub>3</sub> Age + u.<br>The standard errors appear in parentheses. Cov(Age, Schooling) = 0.47. The first column of the table gives the result of a multiple regression on Schooling and Age. The estimated coefficients for the multiple regression model are both significantly different from zero at a very high significance level. The second and third columns are regressions with one variable only. What could be one reason that the coefficient on schooling in the second column is greater than that in the first column?<br/><br><img src='https://www.fatskills.com/images2/GradExams/3AEB0FC2-F7EB-4FF4-BBAF-C8D6224B89E9.png' height='236' width='256'/>





 
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