smoke: smoke

Description Usage Format Notes Source Examples

Description

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.

Usage

1
data('smoke')

Format

A data.frame with 807 observations on 10 variables:

Notes

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

Source

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

Examples

1

Example output

'data.frame':	807 obs. of  10 variables:
 $ educ    : num  16 16 12 13.5 10 6 12 15 12 12 ...
 $ cigpric : num  60.5 57.9 57.7 57.9 58.3 ...
 $ white   : int  1 1 1 1 1 1 1 1 1 1 ...
 $ age     : int  46 40 58 30 17 86 35 48 48 31 ...
 $ income  : int  20000 30000 30000 20000 20000 6500 20000 30000 20000 20000 ...
 $ cigs    : int  0 0 3 0 0 0 0 0 0 0 ...
 $ restaurn: int  0 0 0 0 0 0 0 0 0 0 ...
 $ lincome : num  9.9 10.3 10.3 9.9 9.9 ...
 $ agesq   : int  2116 1600 3364 900 289 7396 1225 2304 2304 961 ...
 $ lcigpric: num  4.1 4.06 4.05 4.06 4.07 ...
 - attr(*, "datalabel")= chr ""
 - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"
 - attr(*, "formats")= chr  "%9.0g" "%9.0g" "%8.0g" "%8.0g" ...
 - attr(*, "types")= int  254 254 251 251 252 251 251 254 252 254
 - attr(*, "val.labels")= chr  "" "" "" "" ...
 - attr(*, "var.labels")= chr  "years of schooling" "state cig. price, cents/pack" "=1 if white" "in years" ...
 - attr(*, "version")= int 10

wooldridge documentation built on June 24, 2021, 9:07 a.m.