SmokeBan: Do Workplace Smoking Bans Reduce Smoking?

Description

Estimation of the effect of workplace smoking bans on smoking of indoor workers.

Usage

data("SmokeBan")

Arguments

Format

A data frame containing 10,000 observations on 7 variables.

smoker: factor. Is the individual a current smoker?
ban: factor. Is there a work area smoking ban?
age: age in years.
education: factor indicating highest education level attained: high school (hs) drop out, high school graduate, some college, college graduate, master's degree (or higher).
afam: factor. Is the individual African-American?
hispanic: factor. Is the individual Hispanic?
gender: factor indicating gender.

Source

Online complements to Stock and Watson (2007). http://wps.aw.com/aw_stock_ie_2/0,12040,3332253-,00.html

Details

SmokeBank is a cross-sectional data set with observations on 10,000 indoor workers, which is a subset of a 18,090-observation data set collected as part of the National Health Interview Survey in 1991 and then again (with different respondents) in 1993. The data set contains information on whether individuals were, or were not, subject to a workplace smoking ban, whether or not the individuals smoked and other individual characteristics.

References

Evans, W. N., Farrelly, M.C., and Montgomery, E. (1999). Do Workplace Smoking Bans Reduce Smoking? American Economic Review, 89, 728--747.

Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.

Examples

Run this code

data("SmokeBan")

## proportion of non-smokers increases with education
plot(smoker ~ education, data = SmokeBan)

## proportion of non-smokers constant over age
plot(smoker ~ age, data = SmokeBan)

Run the code above in your browser using DataLab