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    Analysis of alcohol consumption across the different labor sectors in the Philippines
    (2010-10) Bascoguin, Charmy Wreiny G.; De Castro, Ruben Richard C.; Tecson, Gwendolyn
    Alcohol drinking is a common form of social interaction in several countries. However, millions of alcohol-related deaths and injuries have also been recorded across the world. This paper provides an analysis on the factors that affect the likelihood of an individual to spend on alcoholic substances and the magnitude of consumption. It focuses mainly on Work Characteristics as described by occupational group, industry group, and class of worker. The study applies the behaviour of time preference from the Theory of Compulsive Consumption on its applicability on alcohol consumption. In order to capture the myopic behaviour typically observed in present-oriented individuals, a smoker dummy variable is included as a selecting variable. Using the data from the Family Income and Expenditure Survey 2000-2006 , the study uses the Heckman regression procedure to first estimate the probability of drinking and subsequently the magnitude of alcohol expenditure for each worker across the three aspects of labour considered. Regression results show that there is an evident disparity in the consumption of alcoholic substances among different work characteristics, with blue-collar workers having higher likelihood and magnitude of alcohol consumption than white-collar workers. This brought about the recommendation of implementing anti-alcohol campaigns that target blue-collar workers such as sale restrictions and price regulation.
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    Beer taxes in the Philippines: is it still feasible to increase taxes on beer?
    (2010-04) Gomez, Mark Guian D.C.; Toribio, Justin Romeo N.; Solon, Orville
    This study aims to analyze the consumption patterns of beer in the Philippines and determining if it is still feasible to increase taxes on it in order to generate more revenue for the government. Data from the Family Income and Expenditure Survey (FIBS) that contains information on the expenditure of family households was used. The two-stage Heckman selection model was used in order to remove the bias generated by the zeroes in the dataset (which may mean either they haven't consumed beer or they have consumed beer but have not paid for it). The results show that the choice of beer consumption is determined by many factors (e.g. living in the urban areas, regional effects, number of family members, and occupation of the household heads) and is not solely income. Beer consumption mainly depends on how much income a person has and is also affected by how many members there are and the purchase of other alcoholic beverages. Predictions were also done and the results showed that increasing taxes would affect the rich more than the poor and would have greater effects regions that consume more beer than those who consume less. This results points out that an increase in beer tax is a good government action and would generate more revenue for the government while curbing the consumption of beer to lessen the health problems associated with excessive drinking.
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    Alcohol consumption and its effects on productivity
    (2005-10-20) Villanueva, Leon T.; Bacani, Ramon Miguel
    This study is an attempt to investigate the productivity effects of alcohol. The paper uses a methodology based on a study by Mullahy and Sindelar (1991), where individual productivity is assumed to be dependent to health human capital, non-health human capital (e.g. education) and individual covariates (e.g. age). Along with investigating the general effects of alcohol consumption to' productivity, this paper also explores the productivity effects in a regional setting. Trends in the relationship are also observed, specifically testing the existence of the u-shaped relationship [Cook and Moore (2000)] between the alcohol consumption to productivity in the Philippine setting. The results have been somewhat counter-intuitive. For the primary data set, alcohol consumption seems to be affecting productivity in a positive manner, suggesting that drinking increases productivity. This gives rise to the argument of the u-shaped relationship of alcohol and productivity, with the former serving as a stress reliever and as a "social lubricant" if consumed in moderate amounts [Tekin (2004)). In the per region results, alcohol is found significant only in two areas (Region 12 and 14), with one having a positive coefficient and one, negative. A possible explanation for such result can be attributed to these regions' cultural heritage. Also, for further analysis, the data set of heavy drinkers was separated from the set of casual drinkers. Results show that heavy drinkers run a significantly higher risk of losing productivity as compared to the casual drinkers, which are more likely to benefit from alcohol consumption, though to an insignificant degree. This confirms, to a certain level, the existence of a u-shaped relationship between alcohol consumption to productivity in the Philippine setting. However, due to the nature of the data set, the paper can only discuss the direct effects to productivity of alcohol consumption. It does not tackle the myriad indirect consequences and costs related with consumption [Eberwine (2005); Culyer and Newhouse (2000)]. It is recommended that future studies attempt to incorporate these indirect effects in order to fully encapsulate the costs of alcohol consumption.
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    Do happy people drink more? an econometric analysis
    (2010-04-07) Marzo, Miguel Gonzalo A.
    Many people, Filipinos included, often drink alcoholic beverages as part of celebrations. Others, however, tum to alcohol when they are sad or depressed. What really drives people to partake of these of these types of drinks? Is it because they feel good and are using alcohol as a way to enhance the happy feeling? Or is it because they are feeling down and resort to alcohol simply as a way to momentarily drown their sorrows? Does happiness belong anywhere in the equation at all? This study attempts to establish whether or not there is a statistical link between people's general level of happiness and the level of alcohol that they consume, taking several other factors into account and holding them equal.