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

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

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"