Below is a table of most of the variables in the dataset. For each variable listed, identify both the type of variable and the level of measurement (e.g., a student’s gender is categorical, nominal). variables type level of measurment exp wks bluecol ind south smsa married sex union ed black wage wage2 1. exp (years of full-time experience)2. wks (weeks worked)3. bluecol (whether the worker is a blue collar worker)4. ind (whether the worker works in a manufacturing industry)5. south (whether the worker resides in the south)6. smsa (whether the worker resides in a standard metropolitan statistical area)7. married (whether the worker is married)8. sex (male or female)9. union (whether the worker is part of a union)10. ed (years of education)11. black (whether the worker is black)12. lwage (gives the logarithm of the worker’s wage)13. wage (gives the worker’s wage this past year)14. wage2 (gives the worker’s wage for the second year)
Below is a table of most of the variables in the dataset. For each variable listed, identify both the type of variable and the level of measurement (e.g., a student’s gender is categorical, nominal).
variables | type | level of measurment |
exp | ||
wks | ||
bluecol | ||
ind | ||
south | ||
smsa | ||
married | ||
sex | ||
union |
ed | ||
black | ||
wage | ||
wage2 |
1. exp (years of full-time experience)2. wks (weeks worked)3. bluecol (whether the worker is a blue collar worker)4. ind (whether the worker works in a manufacturing industry)5. south (whether the worker resides in the south)6. smsa (whether the worker resides in a standard metropolitan statistical area)7. married (whether the worker is married)8. sex (male or female)9. union (whether the worker is part of a union)10. ed (years of education)11. black (whether the worker is black)12. lwage (gives the logarithm of the worker’s wage)13. wage (gives the worker’s wage this past year)14. wage2 (gives the worker’s wage for the second year)
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