1. For
this question download the file “Women13” from Blackboard.
Consider women’s labor force participation (covered in class) and consider the
possibility of adding Ai, the age of the ith woman, to the equation.
Be
careful when you develop your expected sign and functional form because the
expected impact of age on labor force participation is difficult to pin down.
For instance, some women drop out of the labor force when they get married, but
others continue working even while they’re raising their children. Still others
work until they get married, stay at home with young children, and then return
to the workforce once the children reach school age. Malcolm Cohen et al., for
example, found the age of a woman to be relatively unimportant in determining
labor force participation, except for women who were 65 and older and were
likely to have retired. The net result for our model is that age appears to be
a theoretically irrelevant variable. A possible exception, however, is a dummy
variable equal to 1 if the ith woman is 65 or over, 0 otherwise.
A. What problems do you see
with adding an independent variable equal to 1 if the ith woman is 65 or older
and 0 otherwise?
B. To get practice in
actually estimating your own linear probability and logit equations, test the
possibility that age Ai is actually a relevant variable in our
women’s labor force participation model. That is, take the data from Table 13.1
and estimate linear probability and logit versions. Then use our specification
criteria to compare your equation with the parallel version in the text
(without Ai). Explain why you do or do not think that age is a
relevant variable.
2.Ando and Modigliani collected the following data on the
income and consumption of non-self-employed homeowners:
3.You can find the data set (SMOKE) for this
question from the following link:
http://fmwww.bc.edu/ec-p/data/wooldridge/datasets.list.html
For the definitions of the variables check:
http://fmwww.bc.edu/ec-p/data/wooldridge/smoke.des
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