On this Picostat.com statistics page, you will find information about the Mroz data set which pertains to U.S. Women's Labor-Force Participation. The Mroz data set is found in the car R package. You can load the Mroz data set in R by issuing the following command at the console data("Mroz"). This will load the data into a variable called Mroz. If R says the Mroz data set is not found, you can try installing the package by issuing this command install.packages("car") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Mroz R data set. The size of this file is about 49,879 bytes.

U.S. Women's Labor-Force Participation

Description

The Mroz data frame has 753 rows and 8 columns. The observations, from the Panel Study of Income Dynamics (PSID), are married women.

Usage

Mroz

Format

This data frame contains the following columns:

lfp

labor-force participation; a factor with levels: no; yes.

k5

number of children 5 years old or younger.

k618

number of children 6 to 18 years old.

age

in years.

wc

wife's college attendance; a factor with levels: no; yes.

hc

husband's college attendance; a factor with levels: no; yes.

lwg

log expected wage rate; for women in the labor force, the actual wage rate; for women not in the labor force, an imputed value based on the regression of lwg on the other variables.

inc

family income exclusive of wife's income.

Source

Mroz, T. A. (1987) The sensitivity of an empirical model of married women's hours of work to economic and statistical assumptions. Econometrica 55, 765–799.

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Fox, J. (2000) Multiple and Generalized Nonparametric Regression. Sage.

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

Long. J. S. (1997) Regression Models for Categorical and Limited Dependent Variables. Sage.

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Dataset imported from https://www.r-project.org.