Exact(5)
Indeed, each social planner chooses the static welfare optimal level of education, consumption, labor and capital.
Each social planner maximizes the utility of his own country; consequently, all education, consumption, labor, and capital are set at their welfare maximizing levels.
On univariate analysis, significant factors (P < 0.5) that were protective against human seropositivity included attaining at least secondary education, consumption of processed dairy products, and previous treatment of febrile illness.
Socio-demographic factors conferred a mildly increased odds of being a high-level user compared with medium-level user, particularly parity (both outcomes) and subsidized housing/no education (consumption outcome only).
NPC risk factors include male gender, increased age, southern Chinese ethnicity, less education, consumption of salted fish and other preserved foods containing elevated levels of nitrate/nitrosamines, reduced fruit and vegetable consumption, cigarette smoking, betel nut chewing, alcohol consumption, and occupational exposures (Chang and Adami, 2006).
Similar(55)
The odds ratio of >4 cups per day vs zero cups per day varied between 0.5 and 0.7 in various strata of geography, education, tobacco consumption, alcohol consumption and vegetable and fruit intake, which are quite consistent results.
*Adjusted for race, education, alcohol consumption, physical activity, diabetes mellitus, fish consumption, computer experience, English as a first language, cholesterol, smoking, obesity, and hypertension.
The remaining less evident cluster might be explained by socioeconomic factors that were not accounted for such as individual-level income and education, alcohol consumption and HRT use.
Sex, education, alcohol consumption, smoking status, and energy intake were assessed by study-specific questionnaires and were available for all cohorts.
The estimated impacts of an increase in the fraction of the population with more than primary education on consumption of these two goods are positive, and statistically significant for alcohol consumption.
Additional adjustments for other covariates (ethnicity, education, alcohol consumption, exercise, pack-year of smoking, obesity, total cholesterol, daily fat intake, and vegetable and fruit consumption) did not change the results.
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