Algorithms in Household Finance
This working group explores the growing role of algorithms and artificial intelligence in household finance, an area of economics that studies how people save, borrow, invest, and use financial products to manage their well-being.
Advances in machine learning and automated decision-making are transforming how financial services are designed, priced, and delivered. These changes raise important questions about efficiency, fairness, consumer welfare, and regulation. Our aim is to bring together researchers and practitioners interested in understanding these developments and their implications.
Format #
We have started as a reading group, meeting every two weeks to discuss recent academic papers and key research directions in the field.
Future meetings may also include invited talks, collaborative research discussions, or policy-focused workshops depending on the group’s interests.
Working Group Organizer #
Name | Position | Affiliation |
---|---|---|
Matthew Olckers | Senior Researcher | Stellenbosch University |
Working Group Members #
Name | Position | Affiliation |
---|---|---|
Elie Alhajjar | Policy Researcher | RAND |
Bikramaditya Datta | Associate Professor | IIT Kanpur |
Vinay Kumar Jha | Graduate student | IIM Ahmedabad |
Alessandro Leite | Associate Professor | INSA Rouen, Paris Saclay University |
Subin Min | Graduate student | University of Michigan, Ann Arbor |
Keziah Naggita | Graduate student | TTIC |
Kuheli Sai | Graduate student | University of Pittsburgh |
Jad Soucar | Graduate student | University of Southern California |
Felipe Verástegui | Graduate student | Columbia University |