The Policy Research Workshop on Digital Finance serves as a platform for sharing and discussing cutting-edge developments in the expansive field of digital finance research. This includes exploring innovative advanced techniques in policy evaluation methods, as well as applying AI and ML to address existing gaps in the literature and empirical challenges.
During the workshop, researchers from NCAs and distinguished academics in the finance domain will present their work, employing approaches beyond traditional data analysis methods. This will allow participants to delve into the intricacies associated with digital finance research. The papers presented at the workshop, whether in progress or already published, will focus on quasi-experimental methods such as event studies, difference-in-differences, randomized experiments, regression discontinuity design models, and the application of techniques like NLP and cluster analysis. The workshop aims to foster an environment of collaboration and knowledge sharing among experts from different NCAs and academia. Participants will engage in discussions, share their experiences, and learn from each other’s’ perspectives.
Paper session
Design future research questions
The seminar is addressed to participating NCAs’ staff engaged in policy-relevant research in the area of digital finance.
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