For example, in the analysis of smoked tobacco, if results display that for gender, the endowment effect coefficient is 0.5 and its percentage is 10%, the interpretation is that of the total rural-urban differential in smoked tobacco consumption, 0.5 units or 10% can be attributed to the unequal proportion of males in rural and urban areas, and to the unequal proportion of females
Its possible that people dont really care whether it says causes versus contributes to versus may contribute to. But the study found that it really does actually matter, and is likely to change the impact of the warnings. The findings The researchers found 76% of participants selected the warning that used the strongest language (causes) as the one that most discouraged potential use
Ilieva is also active in the Society of California Archivists and has made significant contributions to the Medical Heritage Library (MHL)
[DOI] [PubMed] [Google Scholar] Hagihara K
15, 2007, as the latest date by which all tobacco products would have to have to be grandfathered in