| labsup | R Documentation |
Wooldridge Source: The subset of data for black or Hispanic women used in J.A. Angrist and W.E. Evans (1998) Data loads lazily.
data('labsup')
A data.frame with 31857 observations on 20 variables:
kids: number of kids
morekids: had more than 2 kids
boys2: first two births boys
girls2: first two births girls
boy1st: first birth boy
boy2nd: second birth boy
samesex: first two kids are of same sex
multi2nd: =1 if 2nd birth is twin
age: age of mom
agefstm: age of mom at first birth
black: =1 of black
hispan: =1 if hispanic
worked: mom worked last year
weeks: weeks worked mom
hours: hours of work per week, mom
labinc: mom's labor income, $1000s
faminc: family income, $1000s
nonmomi: 'non-mom' income, $1000s
educ: mom's years of education
agesq:
This example can promote an interesting discussion of instrument validity, and in particular, how a variable that is beyond our control – for example, whether the first two children have the same gender – can, nevertheless, affect subsequent economic choices. Students are asked to think about such issues in Computer Exercise C13 in Chapter 15. A more egregious version of this mistake would be to treat a variable such as age as a suitable instrument because it is beyond our control: clearly age has a direct effect on many economic outcomes that would play the role of the dependent variable.
Used in Text: pages 530-531
http://www.cengage.com/c/introductory-econometrics-a-modern-approach-7e-wooldridge
str(labsup)