The article is focused on issues of the secure operation of official statistics in Ukraine during the application of martial law. It was found that the gaps in conventional sources of statistical data caused by the war needed to be filled with data from alternative sources, including Big Data....

The non-certified e-health segment is gaining momentum around the world. The trend was significantly advanced by the introduction of several sports and medical measuring devices in the form of smartwatches. There has also been a resurgence of other medical Internet of Things class devices....

In estimating the proportion of people bearing a stigmatizing characteristic in a community of people, randomized response techniques are plentifully available in the literature. They are implemented essentially using boxes of similar cards of two distinguishable types. In this paper, we propose...

Lenders can exploit households' payment data to infer their creditworthiness. When households value privacy, they then face a tradeoff between protecting such privacy and credit conditions. We study how the introduction of an informationally more intrusive digital payment vehicle affects...

This paper studies how the California Consumer Privacy Act (CCPA), a comprehensive privacy law that grants users control over their data, affects fintech lending. To develop hypotheses we build a parsimonious screening model. Consumers apply for loans with banks and a fintech that has a superior...

This article explores non-custodial crypto asset mixers such as Tornado Cash. We analyze what types of mixers exist and how they work. We discuss opportunities and risks and offer an approach, based on voluntary disclosure, that would allow financial market regulators to combat money laundering...