
The sample is drawn from the American Community Survey (ACS PUMS 2014) were the
panel structure is slightly different in comparison to the "classic" structure.
Overall 662,775 married women in $N = 51$ states were observed. Since
each state is of different population size, this results in a highly
unbalanced panel were the largest state consists of $T_{max} = 74,752$
and the smallest of $T_{min} = 855$ married women.


datasets

Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with a bias-correction proposed by Hahn and Newey (2004) <doi:10.1111/j.1468-0262.2004.00533.x>.

Amrei Stammann

bife

Binary Choice Models with Fixed Effects

acs function

A data frame with 662,775 rows:
<dl> </dl>

acs: Female labor force participation - "American Community Survey (ACS PUMS 2014)"

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See Also