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The World Bank and the IMF have adopted a debt sustainability framework (DSF) to evaluate the risk of debt distress in Low Income Countries (LICs). At the core of the DSF are empirically-based thresholds for each of five different measures of the debt burden (the "debt threshold approach" DTA). The DSF contains a rule for aggregating the information contained in these five different variables which we label the "worst-case aggregator" (WCA) in view of the fact that the DSF considers a breach of any one of the thresholds sufficient to indicate a high risk of debt distress. However, neither the DTA nor the WCA has heretofore been subject to empirical testing. We find that: (1) the DTA loses information relative to a simple proposed alternative; (2) the WCA is too conservative (predicting crises too often) in terms of the loss function used in the DSF; and (3) the WCA is less accurate than some simple proposed alternative aggregators as a predictor of debt distress.

This paper analyzes the potential for fintech to facilitate cheaper and more efficient remittances, and to enhance financial inclusion in Central America. Digital remittances remain nascent in the region, primarily reflecting behavioral inertia, small cost advantages of digital over traditional channels, and inadequate financial literacy. Through expanded alliances between traditional and fintech operators, digital remittances can further reduce transaction costs and reach those remote, low-income households in a timely and secure manner. A meaningful expansion of fintech remittances necessitates an enabling regulatory environment for digital financial services, and KYC and AML/CFT requirements proportionate to the value of transfers.

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IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.