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Cost-effectiveness analysis - Lead paint regulation
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This workbook estimates the cost-effectiveness of introducing lead paint regulation in an average sub-Saharan African country without existing regulations. All monetary figures cited in the workbook are in international dollars. See main report for full details of the cost-effectiveness analysis. To edit the workbook, please make a copy. The workbook is organized as follows:
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CEA - The main cost-effectiveness model, including the overall outputs of the model incorporating uncertainty analysis.
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Uncertainty analysis - The sheet to run the uncertainty analysis, and the results of each simulation.
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Histogram - A histogram of the distribution of the benefit-cost ratios estimated in the uncertainty analysis.
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CEA point estimate - a model which estimates the cost-effectiveness using the central estimates of the input values (no uncertainty analysis). Testing the impact of changing inputs will be easiest in this sheet.
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CEA with counterfactuals - a model that estimates the cost-effectiveness using the central estimates of the input values, including input values for co-founder and fundraising counterfactuals.
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Paint market - Estimates of the additional exposure to lead through lead paint, and the growth in the paint market.
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DALYs - Data on the annual DALYs due to lead exposure.
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DALYs breakdown - Data on the DALYs due to lead exposure broken down by cause.
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Other economic impacts - Estimates of the non-earnings economic impacts of lead exposure.
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Key - The color coding key for the cost-effectiveness models.
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