This study examines the relationship between smoking and body mass index (BMI) with a simultaneous equations system allowing for censoring and endogeneity of the number of cigarettes smoked, which alleviates simultaneity bias caused by unobserved heterogeneity and expansion bias by censoring in the regressor. The results suggest smoking may not have a strong long-term causal effect on body weight after controlling for the endogeneity. The negative relationship between smoking and BMI reported in the literature is potentially attributable to the aforementioned biases and should be interpreted with caution. The statistical procedure developed can be useful in other applications with a censored endogenous regressor. Copyright Springer Science+Business Media, LLC 2007
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)