Description

Wooldridge Source: Terza, J.V. (2002), “Alcohol Abuse and Employment: A Second Look,” Journal of Applied Econometrics 17, 393-404. I obtained these data from the Journal of Applied Econometrics data archive at http://qed.econ.queensu.ca/jae/. Data loads lazily.

Usage

Format

A data.frame with 9822 observations on 33 variables:

• abuse: =1 if abuse alcohol

• status: out of workforce = 1; unemployed = 2, employed = 3

• unemrate: state unemployment rate

• age: age in years

• educ: years of schooling

• married: =1 if married

• famsize: family size

• white: =1 if white

• exhealth: =1 if in excellent health

• vghealth: =1 if in very good health

• goodhealth: =1 if in good health

• fairhealth: =1 if in fair health

• northeast: =1 if live in northeast

• midwest: =1 if live in midwest

• south: =1 if live in south

• centcity: =1 if live in central city of MSA

• outercity: =1 if in outer city of MSA

• qrt1: =1 if interviewed in first quarter

• qrt2: =1 if interviewed in second quarter

• qrt3: =1 if interviewed in third quarter

• beertax: state excise tax, $ per gallon

• cigtax: state cigarette tax, cents per pack

• ethanol: state per-capita ethanol consumption

• mothalc: =1 if mother an alcoholic

• fathalc: =1 if father an alcoholic

• livealc: =1 if lived with alcoholic

• inwf: =1 if status > 1

• employ: =1 if employed

• agesq: age^2

• beertaxsq: beertax^2

• cigtaxsq: cigtax^2

• ethanolsq: ethanol^2

• educsq: educ^2

Used in Text

page 629

Source

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

Examples