5 research outputs found

    What is the Impact of Income on the Demand for Bushmeat?: a study of the relationship between income and bushmeat near the Serengeti National Park in Tanzania

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    In Sub-Saharan Africa, increasing levels of bushmeat consumption and unsustainable bushmeat hunting have become one of the central concerns of conservationists. Many conservationists have recently begun to see income growth as a possible strategy to decrease wildlife consumption. This study tests whether or not this strategy would be effective near the Serengeti National Park in Tanzania. Results from both the aggregated and disaggregated demand functions indicate that bushmeat is a necessity in the region, implying that increases in income would lead to less than proportional increases in consumption and suggesting that income growth alone is not a viable conservation strategy. Other food sources in addition to economic activities that could provide both protein and income must be made available in order to reduce the demand for bushmeat

    Global Tobacco Economics Consortium

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    A 50% increase in cigarette prices would lead to millions of life-years gained through smoking cessation, across the study countries (India, Indonesia, Bangladesh, the Philippines, Vietnam, Armenia, China, Mexico, Turkey, Brazil, Colombia, Thailand, and Chile). About 15.5 million men would avoid catastrophic health expenditures and 8.8 million would avoid falling below the World Bank definition of extreme poverty. Despite differences in socioeconomic class and health finance arrangements, a 50% increase in tobacco prices strongly favours those in the bottom income group for life-years saved, out-of-pocket expenses from tobacco attributable treatment costs averted, and avoidance of catastrophic health expenditures or poverty

    Replication data for: Estimating HIV Prevalence: Can Heckman Help?

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    Estimating national HIV prevalence is challenging due to high rates of HIV test refusal. Barnighausen et al. (2011) proposes the Heckman selection model to account for selection on unobservables, which would result in biased national prevalence estimates. In practice, Heckman models may be difficult to implement because they require a suitable identification variable. Barnighausen et al. (2011) suggests that interviewer identity fulfills the criteria for a valid identification variable. By replicating the paper, we investigate the validity of Heckman estimates of HIV prevalence in Zambia using interviewer identity as the identification variable. Our findings suggest that interviewer identity is endogenous to HIV status under plausible field conditions, and is therefore not a valid identification variable. We find very high predicted prevalence of HIV among men that did not consent to testing (50-54%), and 29-33% among non-consenting men who have never had sex. These surprising results call into question the model's validity. We recommend that DHS evaluate the possibility of altering their data collection procedures to ensure exogeneity of interviewer identity and further evaluate the robustness of the Heckman model before changing HIV prevalence estimation methods
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