smoke

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.

datasets

Students learning both econometrics and R may find the introduction
to both challenging. The wooldridge data package aims to lighten the task by efficiently
loading any data set found in the text with a single command. Data sets have been
compressed to a fraction of their original size. Documentation files contain page numbers,
the original source, time of publication, and notes from the author suggesting avenues for
further analysis and research. If one needs an introduction to R model syntax, a
vignette contains solutions to examples from chapters of the text.
Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0),
and are backwards compatible with all previous versions of the text.

Justin Shea

wooldridge

115 Data Sets from "Introductory Econometrics: A Modern
Approach, 7e" by Jeffrey M. Wooldridge

Justin M. Shea

Kennth H. Brown

smoke function

A data.frame with 807 observations on 10 variables:<ul>
<li>educ: years of schooling</li>
<li>cigpric: state cig. price, cents/pack</li>
<li>white: =1 if white</li>
<li>age: in years</li>
<li>income: annual income, $</li>
<li>cigs: cigs. smoked per day</li>
<li>restaurn: =1 if rest. smk. restrictions</li>
<li>lincome: log(income)</li>
<li>agesq: age^2</li>
<li>lcigpric: log(cigprice)</li>
</ul>

Format

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

smoke: smoke

Description

Usage

Arguments

Format

Notes

Examples