sampleSelection (version 1.0-4)

Mroz87: U.S. Women's Labor Force Participation

Description

The Mroz87 data frame contains data about 753 married women. These data are collected within the "Panel Study of Income Dynamics" (PSID). Of the 753 observations, the first 428 are for women with positive hours worked in 1975, while the remaining 325 observations are for women who did not work for pay in 1975. A more complete discussion of the data is found in Mroz (1987), Appendix 1.

Usage

data(Mroz87)

Format

This data frame contains the following columns:

lfp

Dummy variable for labor-force participation.

hours

Wife's hours of work in 1975.

kids5

Number of children 5 years old or younger.

kids618

Number of children 6 to 18 years old.

age

Wife's age.

educ

Wife's educational attainment, in years.

wage

Wife's average hourly earnings, in 1975 dollars.

repwage

Wife's wage reported at the time of the 1976 interview.

hushrs

Husband's hours worked in 1975.

husage

Husband's age.

huseduc

Husband's educational attainment, in years.

huswage

Husband's wage, in 1975 dollars.

faminc

Family income, in 1975 dollars.

mtr

Marginal tax rate facing the wife.

motheduc

Wife's mother's educational attainment, in years.

fatheduc

Wife's father's educational attainment, in years.

unem

Unemployment rate in county of residence, in percentage points.

city

Dummy variable = 1 if live in large city, else 0.

exper

Actual years of wife's previous labor market experience.

nwifeinc

Non-wife income.

wifecoll

Dummy variable for wife's college attendance.

huscoll

Dummy variable for husband's college attendance.

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. PSID Staff, The Panel Study of Income Dynamics, Institute for Social ResearchPanel Study of Income Dynamics, University of Michigan, http://psidonline.isr.umich.edu.

Examples

## Wooldridge( 2003 ): example 17.5, page 590
data( Mroz87 )
# Two-step estimation
summary( heckit( lfp ~ nwifeinc + educ + exper + I( exper^2 ) + age +
   kids5 + kids618, log( wage ) ~ educ + exper + I( exper^2 ), Mroz87,
   method = "2step" ) )