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smoke

smoke


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

data('smoke')

Format

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)

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

Examples

str(smoke)

wooldridge

111 Data Sets from "Introductory Econometrics: A Modern Approach, 6e" by Jeffrey M. Wooldridge

v1.3.1
GPL-3
Authors
Justin M. Shea [aut, cre], Kennth H. Brown [ctb]
Initial release

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