I12 - Health BehaviorReturn

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.

Long-term growth convergence has extensively been investigated based on economic variables. Indicators of social development and health status are generally focused on their contribution to growth or on assessing national health care systems. Yet, as a general yardstick of well-being, life expectancy should be regarded as a criterion to measure crosscountry development patterns over long periods. Following a review of two approaches to estimating convergence, hypotheses and findings of recent studies on public health and growth are examined. Reformulating the analytical framework of both strands of research, discrete choice and parametric and semi-parametric Poisson regressions are applied to a three-decade panel of 132 countries. Determinants of achievements tend to impact differently across countries, with this distinction occurring particularly between negative and positive counts. Indications of convergence are tempered by results accounting for possible non-linear relationships, which further highlight the discrepancy between country groups with average life expectancy losses and gains.