affairs: Affairs dataset

In hail2thief/ladata: Data Sets for Teaching Data Science

Affairs dataset

Description

Wooldridge Source: R.C. Fair (1978), “A Theory of Extramarital Affairs,” Journal of Political Economy 86, 45-61, 1978. Data originally from Professor Fair’s web cite at the Yale University Department of Economics. He originally obtained the data from a survey by Psychology Today.

Usage

data(affairs)

Format

A data.frame with 601 observations on 19 variables:

• id: identifier

• male: =1 if male

• age: in years

• yrsmarr: years married

• kids: =1 if have kids

• relig: 5 = very relig., 4 = somewhat, 3 = slightly, 2 = not at all, 1 = anti

• educ: years schooling

• occup: occupation, reverse Hollingshead scale

• ratemarr: 5 = vry hap marr, 4 = hap than avg, 3 = avg, 2 = smewht unhap, 1 = vry unhap

• naffairs: number of affairs within last year

• affair: =1 if had at least one affair

• vryhap: ratemarr == 5

• hapavg: ratemarr == 4

• avgmarr: ratemarr == 3

• unhap: ratemarr == 2

• vryrel: relig == 5

• smerel: relig == 4

• slghtrel: relig == 3

• notrel: relig == 2

A (tibble) data frame with 601 rows and 9 variables.

Notes

I just copied this over from wooldridge.

Source

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

hail2thief/ladata documentation built on Sept. 9, 2024, 1:28 p.m.