Wooldridge Source: T.A. Mroz (1987), “The Sensitivity of an Empirical Model of Married Women’s Hours of Work to Economic and Statistical Assumptions,” Econometrica 55, 765-799. Professor Ernst R. Berndt, of MIT, kindly provided the data, which he obtained from Professor Mroz. Data loads lazily.

data('mroz')

Format

A data.frame with 753 observations on 22 variables:

  • inlf: =1 if in lab frce, 1975

  • hours: hours worked, 1975

  • kidslt6: # kids < 6 years

  • kidsge6: # kids 6-18

  • age: woman's age in yrs

  • educ: years of schooling

  • wage: est. wage from earn, hrs

  • repwage: rep. wage at interview in 1976

  • hushrs: hours worked by husband, 1975

  • husage: husband's age

  • huseduc: husband's years of schooling

  • huswage: husband's hourly wage, 1975

  • faminc: family income, 1975

  • mtr: fed. marg. tax rte facing woman

  • motheduc: mother's years of schooling

  • fatheduc: father's years of schooling

  • unem: unem. rate in county of resid.

  • city: =1 if live in SMSA

  • exper: actual labor mkt exper

  • nwifeinc: (faminc - wage*hours)/1000

  • lwage: log(wage)

  • expersq: exper^2

Used in Text

pages 249-251, 260, 294, 519-520, 530, 535, 535-536, 565-566, 578-579, 593- 595, 601-603, 619-620, 625

Examples

 str(mroz)
#> 'data.frame':	753 obs. of  22 variables:
#>  $ inlf    : int  1 1 1 1 1 1 1 1 1 1 ...
#>  $ hours   : int  1610 1656 1980 456 1568 2032 1440 1020 1458 1600 ...
#>  $ kidslt6 : int  1 0 1 0 1 0 0 0 0 0 ...
#>  $ kidsge6 : int  0 2 3 3 2 0 2 0 2 2 ...
#>  $ age     : int  32 30 35 34 31 54 37 54 48 39 ...
#>  $ educ    : int  12 12 12 12 14 12 16 12 12 12 ...
#>  $ wage    : num  3.35 1.39 4.55 1.1 4.59 ...
#>  $ repwage : num  2.65 2.65 4.04 3.25 3.6 ...
#>  $ hushrs  : int  2708 2310 3072 1920 2000 1040 2670 4120 1995 2100 ...
#>  $ husage  : int  34 30 40 53 32 57 37 53 52 43 ...
#>  $ huseduc : int  12 9 12 10 12 11 12 8 4 12 ...
#>  $ huswage : num  4.03 8.44 3.58 3.54 10 ...
#>  $ faminc  : num  16310 21800 21040 7300 27300 ...
#>  $ mtr     : num  0.721 0.661 0.692 0.781 0.622 ...
#>  $ motheduc: int  12 7 12 7 12 14 14 3 7 7 ...
#>  $ fatheduc: int  7 7 7 7 14 7 7 3 7 7 ...
#>  $ unem    : num  5 11 5 5 9.5 7.5 5 5 3 5 ...
#>  $ city    : int  0 1 0 0 1 1 0 0 0 0 ...
#>  $ exper   : int  14 5 15 6 7 33 11 35 24 21 ...
#>  $ nwifeinc: num  10.9 19.5 12 6.8 20.1 ...
#>  $ lwage   : num  1.2102 0.3285 1.5141 0.0921 1.5243 ...
#>  $ expersq : int  196 25 225 36 49 1089 121 1225 576 441 ...
#>  - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"