III UU1% levei O A. I, II, and II. O B. I only OC. II only O D. I and I1 Construct a 95% confidence interval for the effect of gender gap The 95% confidence interval for the effect of gender gap is ( D. (Round your responses to two decimal places) From the sample, the average wage of women is $ per hour (Round your response to three decimal places) From the sample, the average wage of men is $ per hour. (Round your response to three decimal places) Another researcher uses these same data but regresses Wages on Female, a variable that is equal to 1 if the person is female and 0f the person a male What are the regression estmates calcaled bom this gressen? Wage = Yo + Y XFemale, R SER Yo - (Round your response to three decimal places) Y. (Round your response to three decimal places) R (Round your response to two decimal places) SER - (Round your response to one decimal place) Click to select your answer(s).

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111. U.01% levei
O A. I, II, and II.
B. Ionly.
C. II only.
O D. I and I.
Construct a 95% confidence interval for the effect of gender gap.
The 95% confidence interval for the effect of gender gap is ( ). (Round your responses to two decimal places.)
From the sample, the average wage of women is $ per hour. (Round your response to three decimal places.)
From the sample, the average wage of men is $
per hour. (Round your response to three decimal places.)
Another researcher uses these same data but regresses Wages on Female, a variable that is equal to 1 if the person is female and 0 if the person a male What are the regression estimates calculated from this regression?
Wage = Yo + nxFemale, R, SER.
Yo = (Round your response to three decimal places.)
%3D
Y1 = (Round your response to three decimal places.)
%3D
R = (Round your response to two decimal places.)
SER = (Round your response to one decimal place.)
Click to select your answer(s).
...
O Type here to search
Transcribed Image Text:111. U.01% levei O A. I, II, and II. B. Ionly. C. II only. O D. I and I. Construct a 95% confidence interval for the effect of gender gap. The 95% confidence interval for the effect of gender gap is ( ). (Round your responses to two decimal places.) From the sample, the average wage of women is $ per hour. (Round your response to three decimal places.) From the sample, the average wage of men is $ per hour. (Round your response to three decimal places.) Another researcher uses these same data but regresses Wages on Female, a variable that is equal to 1 if the person is female and 0 if the person a male What are the regression estimates calculated from this regression? Wage = Yo + nxFemale, R, SER. Yo = (Round your response to three decimal places.) %3D Y1 = (Round your response to three decimal places.) %3D R = (Round your response to two decimal places.) SER = (Round your response to one decimal place.) Click to select your answer(s). ... O Type here to search
11 of 21 (9 complete)
TH
Suppose that a researcher, using wage data on 265 randomly selected male workers and 297 female workers, estimates the OLS regression
Wage = 13.271 +2.247 x Male, R2 =0.06, SER=45,
(0.2438) (0.3816)
where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is a male and 0 if the person is a female. Define the wage gender gap as the difference in mean eamings between men and we
What is the estimated gender gap?
The estimated gender gap equals $ per hour. (Round your response to three decimal places.)
The null and alternative hypotheses are Ho B = 0 versus H, B, #0.
The t-statistic for testing the null hypothesis that there is no gender gap is
(Round your response to two decimal places.)
The p-value for testing the null hypothesis that there is no gender gap is (Round your response to four decimal places.)
The estimated effect of gender gap is statistically significant at the:
1. 5% level
II. 1% level
III. 0.01% level
O A. I, II, and II.
O B. I only.
OC. III only.
O D. I and II.
Click to select your answer(S).
(DELL
P Type here to search
Transcribed Image Text:11 of 21 (9 complete) TH Suppose that a researcher, using wage data on 265 randomly selected male workers and 297 female workers, estimates the OLS regression Wage = 13.271 +2.247 x Male, R2 =0.06, SER=45, (0.2438) (0.3816) where Wage is measured in dollars per hour and Male is a binary variable that is equal to 1 if the person is a male and 0 if the person is a female. Define the wage gender gap as the difference in mean eamings between men and we What is the estimated gender gap? The estimated gender gap equals $ per hour. (Round your response to three decimal places.) The null and alternative hypotheses are Ho B = 0 versus H, B, #0. The t-statistic for testing the null hypothesis that there is no gender gap is (Round your response to two decimal places.) The p-value for testing the null hypothesis that there is no gender gap is (Round your response to four decimal places.) The estimated effect of gender gap is statistically significant at the: 1. 5% level II. 1% level III. 0.01% level O A. I, II, and II. O B. I only. OC. III only. O D. I and II. Click to select your answer(S). (DELL P Type here to search
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