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dc.contributor.authorOdhiambo, Scholastica A
dc.date.accessioned2018-06-27T07:43:39Z
dc.date.available2018-06-27T07:43:39Z
dc.date.issued2009-07
dc.identifier.urihttps://repository.maseno.ac.ke/handle/123456789/635
dc.description.abstractThis study focuses on empirical measurement of cigarettes demand in Kenya with an emphasis on regulatory effects of cigarette prices and health warning labels on cigarette packs. A myopic addiction model of cigarettes demand is used also to determine if past cigarette consumption per capita has an effect on current cigarette consumption per capita. Other variables were income and advertising. Ordinary Least Squares and Maximum likelihood- ARCH estimation methods were used to estimate the long run cointegrating myopic cigarettes demand model. Furthermore, short run myopic error correction cigarette demand model was also estimated. The estimated long-run results indicated that cigarette prices have a significant and negative effect on cigarette consumption per capita; this implies that the government can easily manipulate cigarette prices by increasing excise tax. ML-ARCH estimation confirmed the existence of a positive and significant myopic relationship between past and current cigarette consumption per capita. Real income per capita proved to have results, which were contrary to the expectation that it will increase consumption of cigarettes; nonetheless it was statistically significant and had negative effect on cigarette consumption per capita in the long run. Health warning labels were found to be effective in reducing cigarettes demand both in the short run and in the long run. Advertising also was found to have a significant effect in promoting the use of tobacco in Kenya. Generally increase in taxes, which is transmitted to the price factor, is the major advocated policy reaction in controlling cigarettes (tobacco) use worldwide.en_US
dc.subjectcigarette prices, regulatory, myopic, ML-ARCH, cointegrating.en_US
dc.titleAn Empirical Analysis of Cigarettes Demand in Kenya: A Health Policy Perspectiveen_US
dc.typeArticleen_US


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