USA aid policy and induced abortion in sub-Saharan Africa: an analysis of the Mexico City Policy  Nina Brooks, MPP, Eran Bendavid, MD, Grant Miller, PhD  The Lancet Global Health  Volume 7, Issue 8, Pages e1046-e1053 (August 2019) DOI: 10.1016/S2214-109X(19)30267-0 Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 1 Adjusted difference in abortion rates and prevalence of contraceptive use between high-exposure and low-exposure countries of the Mexico City Policy across three presidential administrations (1995–2014) Each exposure group's estimates were obtained after regressing abortions (A) or contraceptive use (B) on country and year fixed effects and the full set of respective controls, and obtaining the exposure group's residual mean in each US presidential administration. Exposure to the Mexico City Policy was classified as high or low according to whether the level of per capita financial assistance provided to the country for family planning and reproductive health by the USA was above or below the median during the President Obama Administration. Each bar represents the difference (high exposure minus low exposure) in either average adjusted (A) abortion rates or (B) prevalence of modern contraceptive use during each presidential administration. The Lancet Global Health 2019 7, e1046-e1053DOI: (10.1016/S2214-109X(19)30267-0) Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 2 Annual relative induced abortion rates and contraceptive use prevalence in countries with high or low exposure to the Mexico City Policy (1995–2014) For both panels, residuals were obtained from regressing abortions (A) or contraceptive use prevalence (B) on country and year fixed effects and all controls. The residuals were then summarised by year and exposure to the Mexico City Policy. The two curves were generated from the annual means of the residuals using locally-weighted scatter-plot smoothing (lowess function). The Lancet Global Health 2019 7, e1046-e1053DOI: (10.1016/S2214-109X(19)30267-0) Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions