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At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross‐sectional data on monetary and non‐monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households' probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis. [ABSTRACT FROM AUTHOR]

The contribution of this paper is to question the 'official' estimates of global monetary poverty up to and during the COVID-19 pandemic. We argue there is a political economy of overoptimism in the measurement of global poverty. Specifically, we show that the methodological and presentational choices can lead to an over optimistic view of the levels of, and trends in, global poverty. We provide an up-to-date critique of the global poverty estimates and demonstrate how patterns of poverty would differ if small changes in methodology were implemented. We conclude with a theoretical discussion of why such methodological choices that lead to an optimistic view of global poverty levels and trends are made. Subsequently, we propose an alternative approach to global poverty measurement. [ABSTRACT FROM AUTHOR]