We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...

The literature on the economic effects of electronic money and banking lacks organization and a common analytical framework. This paper identifies the main issues raised by e-money and e-banking and presents them as six puzzles. Our solutions to the puzzles build a framework for analyzing the...

Despite some improvement since 2011, Latin America and the Caribbean continue to lag behind other regions in terms of financial inclusion. There is no clear evidence that fintech developments have supported greater financial inclusion in LAC, contrary to what has been observed elsewhere in the...

This paper analyzes the importance of information technology (IT) in banking for entrepreneurship. To guide our empirical analysis, we build a parsimonious model of bank screening and lending that predicts that IT in banking can spur entrepreneurship by making it easier for startups to borrow...

Motivated by the world-wide surge of FinTech lending, we analyze the implications of lenders' information technology adoption for financial stability. We estimate bank-level intensity of IT adoption before the global financial crisis using a novel dataset that provides information on hardware...

Digital financial services have been a key driver of financial inclusion in recent years. While there is evidence that financial inclusion through traditional services has a positive impact on economic growth, do the same results carry over for digital financial inclusion? What drives digital...

Mobile money services have rapidly expanded across emerging and developing economies and enabled new ways through which households and firms can conduct payments, save and send remittances. We explore how mobile money use can impact economic outcomes in India using granular data on transactions...

This study analyzes the drivers of the use of formal vs. informal financial services in emerging and developing countries using the 2017 Global FINDEX data. In particular, we investigate whether individuals' choice of financial services correlates with macro-financial and macro-structural...