Description Usage Format Details Source References See Also Examples
a cross-section
number of observations : 753
observation : individuals
country : United States
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A dataframe containing :
work at home in 1975? (Opposite of carData::lfp[['lfp']] = labor force participation: When one is 'no', the other is 'yes' and vice versa.)
wife's hours of work in 1975
number of children less than 6 years old in household (Same as carData::Mroz['k5'].)
number of children between ages 6 and 18 in household (Same as carData::Mroz['k618'])
wife's age
wife's educational attainment, in years
wife's average hourly earnings, in 1975 dollars
wife's wage reported at the time of the 1976 interview (not= 1975 estimated wage)
husband's hours worked in 1975
husband's age
husband's educational attainment, in years
husband's wage, in 1975 dollars
family income, in 1975 dollars
wife's mother's educational attainment, in years
wife's father's educational attainment, in years
unemployment rate in county of residence, in percentage points
lives in large city (SMSA) ?
actual years of wife's previous labor market experience
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, and the level names for 'work' here are swapped from the levels of carData::Mroz['lfp'].
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.
Greene, W.H. (2003) Econometric Analysis, Prentice Hall, http://www.prenhall.com/greene/greene1.html, Table F4.1.
Index.Source
,
Index.Economics
,
Index.Econometrics
,
Index.Observations
,
Mroz
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Loading required package: Ecfun
Attaching package: 'Ecfun'
The following object is masked from 'package:base':
sign
Attaching package: 'Ecdat'
The following object is masked from 'package:datasets':
Orange
work hoursw child6 child618 agew educw hearnw wagew hoursh ageh educh wageh
1 no 1610 1 0 32 12 3.3540 2.65 2708 34 12 4.0288
2 no 1656 0 2 30 12 1.3889 2.65 2310 30 9 8.4416
3 no 1980 1 3 35 12 4.5455 4.04 3072 40 12 3.5807
4 no 456 0 3 34 12 1.0965 3.25 1920 53 10 3.5417
5 no 1568 1 2 31 14 4.5918 3.60 2000 32 12 10.0000
6 no 2032 0 0 54 12 4.7421 4.70 1040 57 11 6.7106
income educwm educwf unemprate city experience
1 16310 12 7 5.0 no 14
2 21800 7 7 11.0 yes 5
3 21040 12 7 5.0 no 15
4 7300 7 7 5.0 no 6
5 27300 12 14 9.5 yes 7
6 19495 14 7 7.5 yes 33
work hoursw child6 child618 agew educw hearnw wagew hoursh ageh educh wageh
1 no 1610 1 0 32 12 3.3540 2.65 2708 34 12 4.0288
2 no 1656 0 2 30 12 1.3889 2.65 2310 30 9 8.4416
3 no 1980 1 3 35 12 4.5455 4.04 3072 40 12 3.5807
4 no 456 0 3 34 12 1.0965 3.25 1920 53 10 3.5417
5 no 1568 1 2 31 14 4.5918 3.60 2000 32 12 10.0000
6 no 2032 0 0 54 12 4.7421 4.70 1040 57 11 6.7106
income educwm educwf unemprate city experience
1 16310 12 7 5.0 no 14
2 21800 7 7 11.0 yes 5
3 21040 12 7 5.0 no 15
4 7300 7 7 5.0 no 6
5 27300 12 14 9.5 yes 7
6 19495 14 7 7.5 yes 33
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