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International Monetary Fund Programs and Tuberculosis Outcomes in Post-Communist Countries

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Forest Plot: Effects of IMF and Non-IMF Debt on Log Tuberculosis Prevalence

Results based on six separate regression models using various controls and functional forms. Weighting used for aggregation calculated based on confidence intervals provided in STATA's standard metan module. Controls include either IMF or non-IMF program, change in log GDP, level of log GDP per capita, democratization index, dummy for occurrence of military or ethnic conflict, population dependency ratios, percentage of the population with tertiary education, and urbanization rates. CI, 95% confidence interval; FEM, fixed effects model, which uses a set of country dummies; POLS, pooled OLS model; REM, random effects model. “Period” refers to a set of year dummies.

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doi: https://doi.org/10.1371/journal.pmed.0050143.g003