Politická ekonomie
Politická ekonomie
Prague Economic Papers
University of Economics, Prague

Prague Economic Papers Vol. 28 No. 1

Smoking Czechs: Modelling Tobacco Consumption and Taxation

DOI: https://doi.org/10.18267/j.pep.685

[full text (PDF)]

Karel Janda, Martin Strobl

We model the future tobacco consumption, size of smoking population and governmental tax revenues in the Czech Republic. The main model assumption states that smokers determine their future tobacco consumption behaviour as adolescents. Further assumptions make the model applicable to the data from the Czech National Monitoring Centre for Drugs and Drug Addiction. Future teenage smoking rates and average consumption are the inputs to the model; consumption growth coefficients for each age category are estimated using zero-inflated negative binomial regression. Several scenarios are built to model possible developments, including extreme cases. All our scenarios show that all model outcomes are going to grow until 2028 in a very similar pattern. In particular, the projected number of smokers in 2028 is by 4–8% higher than in 2013, the total daily tobacco consumption and tax revenue by 7–26%. This increase is induced by aging of large birth cohorts.

Keywords: cigarettes, consumption, forecasting, smoking, taxation, tobacco

JEL Classification: D12, I12


Becker, G. S., Murphy, K. M. (1988). A Theory of Rational Addiction. The Journal of Political Economy, 96(4), 675–700, https://doi.org/10.1086/261558

Cameron, A. C., Trivedi, P. K. (1986). Econometric Models Based on Count Data: Comparisons

and Applications of Some Estimators and Tests. Journal of Applied Econometrics, 1(1),

29–53, https://doi.org/10.1002/jae.3950010104

Carstensen, B. (2007). Age–Period–Cohort Models for the Lexis Diagram. Statistics

in Medicine, 26(15), 3018–3045, https://doi.org/10.1002/sim.2764

Hilbe, J. M. (2011). Negative Binomial Regression. Cambridge University Press.

ISBN 9780511973420, https://doi.org/10.1017/CBO9780511973420

Kerr, W. C., Greenfield, T. K., Bond, J., Ye, Y., Rehm, J. (2004). Age, Period and Cohort Influences on Beer, Wine and Spirits Consumption Trends in the US National Alcohol Survey.

Addiction, 99(9), 1111–1120, https://doi.org/10.1111/j.1360-0443.2004.00820.x

Kralikova, E., Kmetova, A., Zvolska, K., Blaha, M., Bortlicek, Z. (2013). Czech Adolescent Smokers: Unhappy to Smoke but Unable to Quit. The International Journal of Tuberculosis and Lung Disease, 17(6), 842–846.

Kvaček, J. (2011). Poptávka po cigaretách v České republice a výnosnost spotřební daně

z cigaret. Master’s thesis, IES FSV UK.

Levy, D. T., Ross, H., Kmetova, A., Kralikova, E., Stoklosa, M., Blackman, K., Diab, O. A., Abdelrahim, E. M., Esmail, M., Golding, J. F. et al. (1997). The Czech Republic SimSmoke: The Effect of Tobacco Control Policies on Smoking Prevalence and Smoking Attributable Deaths in the Czech Republic. J Prev Med Public Health, (4), 697–707.

Mason, K. O., Mason, W. M., Winsborough, H. H., Poole, W. K. (1973). Some Methodological

Issues in Cohort Analysis of Archival Data. American Sociological Review, 38(2), 242–258,


Mendez, D., Warner, K. E., Courant, P. N. (1998). Has Smoking Cessation Ceased? Expected

Trends in the Prevalence of Smoking in the United States. American Journal of

Epidemiology, 148(3), 249–258, https://doi.org/10.1093/oxfordjournals.aje.a009632

Mori, H., Clason, D. L. et al. (2004). A Cohort Approach for Predicting Future Eating Habits: The Case of At-Home Consumption of Fresh Fish and Meat in an Aging Japanese Society. International Food and Agribusiness Management Review, (1), 22–41.

Movsisyan, N. K., Sochor, O., Kralikova, E., Cifkova, R., Ross, H., Lopez-Jimenez, F. (2016, July).

Current and Past Smoking Patterns in a Central European Urban Population: a Crosssectional

Study in a High-burden Country. BMC Public Health, 16(1),


OECD (2014). OECD Factbook 2014. http://dx.doi.org/10.1787/factbook-2014-en

Peřinová, P., Feketeová, E., Kemplink, D., Kovalská, P., Chlebušová, K., Nepožitek, J., Ibarburu, V., Králíková, E., Nevšímalová, S., Šonka, K. (2016). Smoking Prevalence and its Clinical Correlations in Patients with Narcolepsy-Cataplexy. Prague Medical Report, 117(2–3), 81–89, https://doi.org/10.14712/23362936.2016.8

Pertold, F. (2009). Sorting into Secondary Education and Peer Effects in Youth Smoking. CERGE-EI. Working Paper Series No. 399, https://doi.org/10.2139/ssrn.1517222

Powell, L., Tauras, J., Ross, H. (2005, September). The Importance of Peer Effects, Cigarette Prices and Tobacco Control Policies for Youth Smoking Behavior. Journal of Health Economics, 24(5), 950–968, https://doi.org/10.1016/j.jhealeco.2005.02.002

Rentz, J. O., Reynolds, F. D. (1991). Forecasting the Effects of an Aging Population on Product Consumption: An Age-Period-Cohort Framework. Journal of Marketing Research, 28(3),

355–360, https://doi.org/10.2307/3172871

Ross, H., Chaloupka, F. J. (2003). The Effect of Cigarette Prices on Youth Smoking. Health

economics, 12(3), 217–230, https://doi.org/10.1002/hec.709

Shirane, R., Smith, K., Ross, H., Silver, K. E., Williams, S., Gilmore, A. (2012). Tobacco Industry Influence in the Czech Republic in Times of Major Political Change: Manipulating Tobacco Excise Tax and Tobacco Advertising Policies. PLoS Med, (6), –.

Sovinova, H., Csemy, L. (2016). Užívání tabáku v České republice 2015. Výzkumná zpráva, Státní zdravotní ústav.

Sovinová, H., Csémy, L., Procházka, B., Kottnauerová, S. (2008). Smoking-attributable Mortality in the Czech Republic. Journal of Public Health, 16(1), 37–42, https://doi.org/10.1007/s10389-007-0116-2

Sovinová, H., Csémy, L., Sadílek, P. (2014). Užívání tabáku v České republice 2013. Státní

zdravotní ústav.

Spilková, J., Dzúrová, D., Pikhart, H. (2011). Inequalities in Smoking in the Czech Republic: Societal or Individual Effects? Health & Place, 17(1), 215–221, https://doi.org/10.1016/j.healthplace.2010.10.003

Tesar, T. (2011). Comparative Analysis of Factors Influencing Childrens Smoking. Bachelor’s thesis, IES FSV UK.

Vuong, Q. H. (1989). Likelihood Ratio Tests for Model Selection and Non-Nested

Hypotheses. Econometrica: Journal of the Econometric Society, 307–333,