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#

Name:

Description:

a cross-section

number of observations : 753

observation : individuals

country : United States

Variables:

A dataframe containing :

work

work at home in 1975? (Same carData::Mroz[['lfp']] = labor force participation.)

hoursw

wife's hours of work in 1975

child6

number of children less than 6 years old in household (Same as carData::Mroz['k5'].)

child618

number of children between ages 6 and 18 in household (Same as carData::Mroz['k618'])

agew

wife's age

educw

wife's educational attainment, in years

hearnw

wife's average hourly earnings, in 1975 dollars

wagew

wife's wage reported at the time of the 1976 interview (not= 1975 estimated wage)

hoursh

husband's hours worked in 1975

ageh

husband's age

educh

husband's educational attainment, in years

wageh

husband's wage, in 1975 dollars

income

family income, in 1975 dollars

educwm

wife's mother's educational attainment, in years

educwf

wife's father's educational attainment, in years

unemprate

unemployment rate in county of residence, in percentage points

city

lives in large city (SMSA) ?

experience

actual years of wife's previous labor market experience

 

Details

These data seem to have come from the same source as carData::Mroz, though each data set has variables not in the other. The variables that are shared have different names.

On 2019-11-04 Bruno Rodrigues explained that Ecdat::Mroz['work'] had the two labels incorrectly swapped, and wooldridge::mroz['inlf'] was correct; wooldridge matches carData::Mroz['lfp'].

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

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

1976 Panel Study of Income Dynamics.

References

Greene, W.H. (2003) Econometric Analysis, Prentice Hall, http://www.prenhall.com/greene/greene1.html, Table F4.1.

See Also

Index.Source, Index.Economics, Index.Econometrics, 

Index.Observations, Mroz mroz

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Labor_Supply_Data_629_73.csv")

R Coding Interface:


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