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Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across different estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices.

Poverty --- Destitution --- Wealth --- Basic needs --- Begging --- Poor --- Subsistence economy --- Econometric models. --- Econometrics --- Macroeconomics --- Poverty and Homelessness --- Semiparametric and Nonparametric Methods --- Personal Income, Wealth, and Their Distributions --- Global Outlook --- Measurement and Analysis of Poverty --- Economic Development: General --- Welfare, Well-Being, and Poverty: General --- Macroeconomics: Consumption --- Saving --- Aggregate Factor Income Distribution --- Estimation --- Poverty & precarity --- Econometrics & economic statistics --- Personal income --- Consumption --- Income distribution --- Estimation techniques --- National accounts --- Econometric analysis --- Income --- Economics --- Econometric models --- Central African Republic