Semiparametric binary random effects models: Estimating two types of drinking behavior
AbstractI propose a new estimator for cross-section semiparametric regressions containing unobserved binary random effects and apply it to alcohol consumption. The random effects (health consciousness) explain a significant proportion of otherwise unexplained variation in alcohol consumption. Education positively correlates with health consciousness.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 112 (2011)
Issue (Month): 1 (July)
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Web page: http://www.elsevier.com/locate/ecolet
Random effects model Alcohol consumption Education;
Other versions of this item:
- Dong, Yingying, 2010. "Semiparametric Binary Random Effects Models: Estimating Two Types of Drinking Behavior," MPRA Paper 25425, University Library of Munich, Germany.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I12 - Health, Education, and Welfare - - Health - - - Health Production
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.:
- Xiaohong Chen & Oliver Linton & Ingrid Van Keilegom, 2003.
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STICERD - Econometrics Paper Series
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- Yingyong Dong & Arthur Lewbel, 2009.
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CeMMAP working papers
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- Dong, Yingying & Lewbel, Arthur, 2011. "Nonparametric identification of a binary random factor in cross section data," Journal of Econometrics, Elsevier, vol. 163(2), pages 163-171, August.
- Yingying Dong & Arthur Lewbel, 2009. "Nonparametric Identification of a Binary Random Factor in Cross Section Data," Boston College Working Papers in Economics 707, Boston College Department of Economics, revised 01 Jul 2010.
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