. Consider the following table of estimated regressions, computed using data for 2012 from the CPS. The data set consists of information on 7440 full-time, full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The workers' ages ranged from 25 to 34 years. The data set also contains information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let • AHE = average hourly earnings (in 2012 dollars) • College = binary variable (1 if college, 0 if high school) • Female = binary variable (1 if female, 0 if male) • Age = age (in years) • Ntheast = binary variable (1 if Region = Northeast, 0 otherwise) • Midwest = binary variable (1 if Region Midwest, 0 otherwise) • South = binary variable (1 if Region South, 0 otherwise) • West = binary variable (1 if Region = West, 0 otherwise) (a) Calculate the R for the regression in column (1) and the R and SER for each of the regressions in columns (2) and (3). (b) Use the regression results in column (1). Do female workers with a college degree earn more, on average, than male workers with only high school education? How much more?
. Consider the following table of estimated regressions, computed using data for 2012 from the CPS. The data set consists of information on 7440 full-time, full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The workers' ages ranged from 25 to 34 years. The data set also contains information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let • AHE = average hourly earnings (in 2012 dollars) • College = binary variable (1 if college, 0 if high school) • Female = binary variable (1 if female, 0 if male) • Age = age (in years) • Ntheast = binary variable (1 if Region = Northeast, 0 otherwise) • Midwest = binary variable (1 if Region Midwest, 0 otherwise) • South = binary variable (1 if Region South, 0 otherwise) • West = binary variable (1 if Region = West, 0 otherwise) (a) Calculate the R for the regression in column (1) and the R and SER for each of the regressions in columns (2) and (3). (b) Use the regression results in column (1). Do female workers with a college degree earn more, on average, than male workers with only high school education? How much more?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:. Consider the following table of estimated regressions, computed using data for 2012
from the CPS. The data set consists of information on 7440 full-time, full-year workers.
The highest educational achievement for each worker was either a high school diploma
or a bachelor's degree. The workers' ages ranged from 25 to 34 years. The data set
also contains information on the region of the country where the person lived, marital
status, and number of children. For the purposes of these exercises, let
• AHE = average hourly earnings (in 2012 dollars)
• College = binary variable (1 if college, 0 if high school)
• Female = binary variable (1 if female, 0 if male)
• Age = age (in years)
• Ntheast = binary variable (1 if Region = Northeast, 0 otherwise)
• Midwest = binary variable (1 if Region Midwest, 0 otherwise)
• South = binary variable (1 if Region South, 0 otherwise)
• West = binary variable (1 if Region = West, 0 otherwise)
(a) Calculate the R for the regression in column (1) and the R and SER for each
of the regressions in columns (2) and (3).
(b) Use the regression results in column (1). Do female workers with a college degree
earn more, on average, than male workers with only high school education? How
much more?
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