Univariate OLS, Inference with Binary Variable. You have collected 15,925 observations from the Current Population Survey. There are 7,285 females in the sample and 8,640 males. The females report a mean of average hourly earnings of $15.50 with a standard deviation of $7.06. The males have an average of $21.09 and a standard deviation of $10.85. (a) You accidentally regress average hourly earnings on an intercept only without any independent variable. What will the regression coefficient be? (b) Finally, you run the correct regression on the entire sample on an inter- cept and a binary variable M. This variable takes on a value of 1 if the individual is a male and is 0 otherwise. Denote the coefficient on the binary variable as B1. What will be the value of the intercept? What will be the value of B1? (c) What is the standard error of B1? (d) Compute the 95% confidence interval of B1 and test the null hypothesis thot 6

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Univariate OLS, Inference with Binary Variable.
You have collected 15,925 observations from the Current Population Survey.
There are 7,285 females in the sample and 8,640 males. The females report
a mean of average hourly earnings of $15.50 with a standard deviation of
$7.06. The males have an average of $21.09 and a standard deviation of
$10.85.
(a) You accidentally regress average hourly earnings on an intercept only
without any independent variable. What will the regression coefficient
be?
(b) Finally, you run the correct regression on the entire sample on an inter-
cept and a binary variable M. This variable takes on a value of 1 if the
individual is a male and is 0 otherwise. Denote the coefficient on the
binary variable as B1. What will be the value of the intercept? What
will be the value of B1?
(c) What is the standard error of B1?
(d) Compute the 95% confidence interval of ß1 and test the null hypothesis
that B1 = 5.
Transcribed Image Text:Univariate OLS, Inference with Binary Variable. You have collected 15,925 observations from the Current Population Survey. There are 7,285 females in the sample and 8,640 males. The females report a mean of average hourly earnings of $15.50 with a standard deviation of $7.06. The males have an average of $21.09 and a standard deviation of $10.85. (a) You accidentally regress average hourly earnings on an intercept only without any independent variable. What will the regression coefficient be? (b) Finally, you run the correct regression on the entire sample on an inter- cept and a binary variable M. This variable takes on a value of 1 if the individual is a male and is 0 otherwise. Denote the coefficient on the binary variable as B1. What will be the value of the intercept? What will be the value of B1? (c) What is the standard error of B1? (d) Compute the 95% confidence interval of ß1 and test the null hypothesis that B1 = 5.
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