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.
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)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(AER)
Loading required package: car
Loading required package: lmtest
Loading required package: zoo
Attaching package: 'zoo'
The following objects are masked from 'package:base':
as.Date, as.Date.numeric
Loading required package: sandwich
Loading required package: survival
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AER/SmokeBan.Rd_%03d_medium.png", width=480, height=480)
> ### Name: SmokeBan
> ### Title: Do Workplace Smoking Bans Reduce Smoking?
> ### Aliases: SmokeBan
> ### Keywords: datasets
>
> ### ** 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)
>
>
>
>
>
> dev.off()
null device
1
>