Sometimes, the pattern of coefficients on the year dummy variables is itself of interest. For example, a demographer may be interested in the following question: After controlling for education, has the pattern of fertility among women over age 35 changed between 1972 and 1984? The following table illustrates how this question is simply answered by using multiple regression analysis with year dummy variables. The table below presents the results from a study carried out on the total number of kids born to a woman. The factors that are controlled for are years of education, age, race, region of the country where living at age 16, and living environment at age 16. Interpret the results of the estimated model provided above. and why can we not use first differences when we have independent cross sections in two years (as opposed to panel data)?
Sometimes, the pattern of coefficients on the year dummy variables is itself of interest. For example, a demographer may be interested in the following question: After controlling for education, has the pattern of fertility among women over age 35 changed between 1972 and 1984? The following table illustrates how this question is simply answered by using multiple regression analysis with year dummy variables. The table below presents the results from a study carried out on the total number of kids born to a woman. The factors that are controlled for are years of education, age, race, region of the country where living at age 16, and living environment at age 16. Interpret the results of the estimated model provided above. and why can we not use first differences when we have independent cross sections in two years (as opposed to panel data)?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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Sometimes, the pattern of coefficients on the year dummy variables is itself of interest. For example, a demographer may be interested in the following question: After controlling for education, has the pattern of fertility among women over age 35 changed between 1972 and 1984? The following table illustrates how this question is simply answered by using multiple The table below presents the results from a study carried out on the total number of kids born to a woman. The factors that are controlled for are years of education, age, race, region of the country where living at age 16, and living environment at age 16. |
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Interpret the results of the estimated model provided above. |
|
and why can we not use first differences when we have independent cross sections in two years (as opposed to panel data)? |
Transcribed Image Text:educ
age
age²
black
east
northcen
west
farm
rural
town
smcity
y74
y76
y78
y80
y82
Ⓒ The Independent Institute of Education (Pty) Ltd 2022
y84
constant
n
Independent Variable
R²
Dependent Variable: Kids
Adjusted R²
Coefficients
-0.128
0.532
-0.006
1.076
0.217
0.363
0.198
-0.053
-0.163
0.084
0.212
0.268
-0.097
-0.069
-0.071
-0.522
-0.545
-7.742
1129
0.1295
0.1162
Standard Errors
0.018
0.138
0.002
0.174
0.133
0.121
0.167
0.147
0.175
0.124
0.160
0.173
Page 4 of 6
2022
0.179
0.182
0.183
0.172
0.175
3.052
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