Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 49-67 |
| Number of pages | 19 |
| Journal | Journal of Family and Economic Issues |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Mar 2007 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Free Keywords
- Body mass index
- Censored regressor
- Overweight
- Simultaneous equations system
- Smoking
ASJC Scopus subject areas
- Social Psychology
- Economics and Econometrics
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