| smoke | R Documentation |
Wooldridge Source: J. Mullahy (1997), “Instrumental-Variable Estimation of Count Data Models: Applications to Models of Cigarette Smoking Behavior,” Review of Economics and Statistics 79, 596-593. Professor Mullahy kindly provided the data. Data loads lazily.
data('smoke')
A data.frame with 807 observations on 10 variables:
educ: years of schooling
cigpric: state cig. price, cents/pack
white: =1 if white
age: in years
income: annual income, $
cigs: cigs. smoked per day
restaurn: =1 if rest. smk. restrictions
lincome: log(income)
agesq: age^2
lcigpric: log(cigprice)
If you want to do a “fancy” IV version of Computer Exercise C16.1, you could estimate a reduced form count model for cigs using the Poisson regression methods in Section 17.3, and then use the fitted values as an IV for cigs. Presumably, this would be for a fairly advanced class.
Used in Text: pages 183, 288-289, 298, 301, 578, 627
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(smoke)