Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model
AbstractIn this paper we test the existence of rational habit formation in a multivariate model for alcohol and tobacco consumption. The theoretical framework, based on a dynamic adjustment cost model with forward-looking behaviour, is enhanced to include the intertemporal interactions between the two goods. The analysis of the within-period preferences completes the intertemporal model, allowing to evaluate the static substitutability/complementarity relationships. The empirical strategy consists in a two step estimation procedure. In the first stage, the parameters of the demand system are obtained, while in a second stage Euler equations are estimated by a dynamic fixed-effects panel data model. Estimation results, based on a cohort dataset constructed from a series of crosssections of the ISTAT Italian Household Budget Survey, reveal a significant complementarity relationship between alcohol and tobacco. The Euler system estimation does not reject the hypothesis of intertemporal dependence, providing support for a forward-looking behaviour in alcohol and tobacco consumption. Moreover, we find significant intertemporal interactions for tobacco adjustments, while alcohol consumption seems to follow only its own adjustment dynamics.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
Bibliographic InfoPaper provided by University of Verona, Department of Economics in its series Working Papers with number 38.
Date of creation: Jun 2007
Date of revision:
alcohol and tobacco consumption; cohort data; adjustment cost model; intertemporal interactions; GMM.;
Other versions of this item:
- David Aristei & Luca Pieroni, 2010. "Habits, Complementarities and Heterogeneity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 428-457, 08.
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
This paper has been announced in the following NEP Reports:
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.:
- Weissenberger, Edgar, 1986. "An intertemporal system of dynamic consumer demand functions," European Economic Review, Elsevier, vol. 30(4), pages 859-891, August.
- Gardes, Francois & Duncan, Greg J. & Gaubert, Patrice & Gurgand, Marc & Starzec, Christophe, 2005. "Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption: The Case of U.S. and Polish Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 242-253, April.
- Angus Deaton & Christina Paxson, 2000. "Growth and Saving Among Individuals and Households," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 212-225, May.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
- Luca Fanelli, 2006. "Dynamic adjustment cost models with forward-looking behaviour," Econometrics Journal, Royal Economic Society, vol. 9(1), pages 23-47, 03.
- Rosalie Liccardo Pacula, 1997. "Letter: Economic modelling of the gateway effect," Health Economics, John Wiley & Sons, Ltd., vol. 6(5), pages 521-524.
- Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
- Pieroni, Luca & Salmasi, Luca, 2012. "Does cigarette smoking affect body weight? causal estimates from the clean indoor air law discontinuity," MPRA Paper 38338, University Library of Munich, Germany.
- Pieroni, Luca & Salmasi, Luca, 2012. "Smoking habit changes and body weight: causal estimates from the British Household Panel Survey," MPRA Paper 43465, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael Reiter).
If references are entirely missing, you can add them using this form.