SmokeBan {AER} | R Documentation

## Do Workplace Smoking Bans Reduce Smoking?

### Description

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

### Usage

    data("SmokeBan")

### 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.

### 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.

### Source

Online complements to Stock and Watson (2007).

### 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.

### See Also

`StockWatson2007`

### Examples

    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)

[Package AER version 1.2-5 Index]