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

Daniel Czarnowske

Florian Heiss

Daniel McFadden

acs function

A data frame with 662,775 rows:<dl class="dl-horizontal">
 <dt>ST</dt><dd>state identifier</dd>
 <dt>AGEP</dt><dd>age of woman</dd>
 <dt>FER</dt><dd>indicates if a woman gave birth to a child within the past 12 months</dd>
 <dt>PINCP</dt><dd>total persons income</dd>
 <dt>LFP</dt><dd>labor force participation</dd></dl>

Format

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

A data frame with 662,775 rows:<dl class='dl-horizontal'>
 <dt>ST</dt><dd>state identifier</dd>
 <dt>AGEP</dt><dd>age of woman</dd>
 <dt>FER</dt><dd>indicates if a woman gave birth to a child within the past 12 months</dd>
 <dt>PINCP</dt><dd>total persons income</dd>
 <dt>LFP</dt><dd>labor force participation</dd></dl>

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

Description

Usage

Arguments

Format

References

See Also