2. Consider the population regression of earnings against two binary variables: whether a worker is married...
2. Consider the population regression of earnings against two
binary variables: whether a worker is married
(D1i, where D1i=1 if the
ith person is married) and the worker's gender
(D2i, where D2i=1 if the
ith person is female), and the product of the
two binary variables:
Yi = 20000 +
3000D1i – 340D2i
– 230 (D1i×D2i) +
ui.
a. Predicted earnings for a married man are: ______________________
b. Predicted earnings for a married woman are: __________________
c. Predicted earnings for a single woman are: _____________________
Homework Answers
a. Predicted earnings for a married man are:
D1i = 1, D2i = 0
b. Predicted earnings for a married woman are:
D1i = 1, D2i =1
c. Predicted earnings for a single woman are:
D1i = 0, D2i =1
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2. Consider the population regression of earnings against two
binary variables: whether a worker is married...
The data set consists of information on 3700 full-time full-year workers. The highest educational achievement for...
The data set consists of information on 3700 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained 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 2005 dollars) College = binary variable (1 if...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained 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 2005 dollars) College = binary variable (1 if...
Refer to the table of estimated regressions below, computed using data for 1998 from the CPS,...
Refer to the table of estimated regressions below, computed using data for 1998 from the CPS, to answer the following question. The data set consists of information on 4000 full-time full-year workers. The highest educational achievement of each worker was either a high school diploma or a bachelor's degree. The worker's age ranged from 25 to 34 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children....
The data set consists of information on 3700 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained 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 2005 dollars) College = binary variable (1 if...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained 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 2005 dollars) College = binary variable (1 if...
Refer to the table of estimated regressions below, computed using data for 1998 from the CPS, to answer the following question. The data set consists of information on 4000 full-time full-year workers. The highest educational achievement of each worker was either a high school diploma or a bachelor's degree. The worker's age ranged from 25 to 34 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children....
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