wage2

Description

Wooldridge Source: M. Blackburn and D. Neumark (1992), “Unobserved Ability, Efficiency Wages, and Interindustry Wage Differentials,” Quarterly Journal of Economics 107, 1421-1436. Professor Neumark kindly provided the data, of which I used just the data for 1980. Data loads lazily.

Usage

data('wage2')

Format

A data.frame with 935 observations on 17 variables:

• wage: monthly earnings

• hours: average weekly hours

• IQ: IQ score

• KWW: knowledge of world work score

• educ: years of education

• exper: years of work experience

• tenure: years with current employer

• age: age in years

• married: =1 if married

• black: =1 if black

• south: =1 if live in south

• urban: =1 if live in SMSA

• sibs: number of siblings

• brthord: birth order

• meduc: mother's education

• feduc: father's education

• lwage: natural log of wage

Notes

As with WAGE1.RAW, there are some clear inconsistencies among the variables tenure, exper, and age. I have not been able to track down the causes, and so any changes would be effectively arbitrary. Instead, I am using the data as provided by the authors of the above QJE article.

Used in Text: pages 64, 106, 111, 165, 218-219, 220-221, 262, 310-312, 338, 519-520, 534, 546-547, 549, 678

Source

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

Examples

 str(wage2)