In the regression model established in the study conducted on 114 employees in India, the variables are defined as follows: UG = Weekly wage income (rupee), Age = age (year), DE2 = artificial variable that takes value 1 for workers who have studied until primary school, DE3 = High School Dummy variable that takes value 1 for workers with up to 1 education, DE4 = dummy variable that takes value 1 for educated workers after high school, DSG = dummy variable that takes 1 for permanent workers, 0 for temporary workers, Dcins = 1 for male workers, 1 for female workers Reference category 0 is temporary male workers who have not studied primary school. Here, it is explored how age, gender, education level and permanent job affect weekly wage. For this purpose, the following regression model will be estimated: In UG₁ = B₁ + B₂YAŞ¡ + Â3DE2 + Â4DE3 + Â5DE4 + Â6DSG + Â7 Dcins + ûi a) please find B₂ =? 14,548 B3 =? B4 =? 2,845 61,579 5,443 0,029 2,785 24,018 12,857 3,988 1,658 0,505 7,012 0,158 0,978 5,789

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In the regression model established in the study conducted on 114 employees in India, the variables are
defined as follows: UG = Weekly wage income (rupee), Age = age (year), DE2 = artificial variable that
takes value 1 for workers who have studied until primary school, DE3 = High School Dummy variable
that takes value 1 for workers with up to 1 education, DE4 = dummy variable that takes value 1 for
educated workers after high school, DSG = dummy variable that takes 1 for permanent workers, 0 for
temporary workers, Dcins = 1 for male workers, 1 for female workers Reference category 0 is temporary
male workers who have not studied primary school. Here, it is explored how age, gender, education level
and permanent job affect weekly wage. For this purpose, the following regression model will be
estimated:
||
In UG¡ = ß1 + ß2Y AŞ; + B3DE2 + B¾DE3 + B§DE4 + ß,DSG + ß,Dcins + û¡
please find
a)
B2 =? O 14,548
0,029
%3D
3,988
7,012 O 5,789
B3 =? O 2,845
1,658
0,158
5,443
24,018
B4 =? O 61,579
2,785
12,857
0,505
0,978
Transcribed Image Text:In the regression model established in the study conducted on 114 employees in India, the variables are defined as follows: UG = Weekly wage income (rupee), Age = age (year), DE2 = artificial variable that takes value 1 for workers who have studied until primary school, DE3 = High School Dummy variable that takes value 1 for workers with up to 1 education, DE4 = dummy variable that takes value 1 for educated workers after high school, DSG = dummy variable that takes 1 for permanent workers, 0 for temporary workers, Dcins = 1 for male workers, 1 for female workers Reference category 0 is temporary male workers who have not studied primary school. Here, it is explored how age, gender, education level and permanent job affect weekly wage. For this purpose, the following regression model will be estimated: || In UG¡ = ß1 + ß2Y AŞ; + B3DE2 + B¾DE3 + B§DE4 + ß,DSG + ß,Dcins + û¡ please find a) B2 =? O 14,548 0,029 %3D 3,988 7,012 O 5,789 B3 =? O 2,845 1,658 0,158 5,443 24,018 B4 =? O 61,579 2,785 12,857 0,505 0,978
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