The table below is used for Questions 4 and 5. q.4 It contains three estimated regressions, which were computed in 2007

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The table below is used for Questions 4 and 5.
q.4
It contains three estimated regressions, which were computed in
2007 using data on employees. The data set used for the regressions
consisted of information on over 10,000 full-time, full-year
workers. Employees were surveyed on their earnings and whether they
had graduated high school or not. The data set also contains
information on the region of the country where the person lived
(North / East / South / West), and the individual's gender and
age.
For the purposes of this quiz:
AHE = average hourly earnings
Graduated high school (X1) = binary variable (1 if the employee
graduated high school, 0 if they did not)
Male (X2) = binary variable (1 if male, 0 if female)
Age (X3) = age in years
North (X4) = binary variable (1 if Region = North, 0
otherwise)
South (X5) = binary variable (1 if Region = South, 0
otherwise)
East (X6) = binary variable (1 if Region = East, 0
otherwise)

The Table Below Is Used For Questions 4 And 5 Q 4 It Contains Three Estimated Regressions Which Were Computed In 2007 1 (132.68 KiB) Viewed 132 times

Results of Regressions of Average Hourly Earnings on Gender and Education Binary Variables and Other Characteristics Using 2007 Data from the Current Population Survey Dependent variable: average hourly earnings (AHE). Regressor Graduated high school (X) 0.352 0.373 (0.021) (0.021) Male (X2) 0.458 0.457 (0.021) (0.020) Age (X3) 0.011 (0.001) North (X4) 0.371 (0.021) 0.451 (0.020) 0.011 (0.001) 0.175 (0.37) 0.103 (0.033) -0.102 (0.043) 12.390 (0.057) South (X) East (X) Intercept 12.84 (0.018) 12.471 (0.049) F-statistic for regional effects=0 SER R2 1.026 0.0710 10973 1.023 0.0761 10973 21.87 1.020 0.0814 10973 n Using the regression results in column (1): Is the coefficient on "Graduated high school", estimated from this regression, statistically significant at the 5% level? The calculated test statistic is (two decimal places) Therefore, is the null hypothesis rejected at the 5% level of significance? (Type Yes or No)
Continue to use the regression results in column (1) from the table in Question 4. Construct a 95% confidence interval for the coefficient on "Graduated high school". Lower bound: Upper bound: Please report all answers in this question to four decimal places. Researcher A is interested in the wage differential between genders in the Brisbane area. She interviewed 4,520 full time employees in the Brisbane metropolitan area to collect data on weekly income and gender from each interviewee, along with other individual characteristics that may determine labour market outcomes including, but not limited to, years of schooling, marital status, and number of kids. Every individual in the dataset is either male or female. Researcher A then tried to regress log(income) on the dummy for male and the dummy for female and other individual characteristics including a constant. But, she was confused because the econometrics package refused to compute the estimate for the dummy for male. In fact, the econometrics package omits the dummy for male in order to avoid the problem known as: a. Omitted Variable Bias. O b. Perfect Multicollinearity O Homoskedastic errors. d.Control variables. Oe. Existence of Outliers.