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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 #

NamePositionAffiliation
Matthew OlckersSenior ResearcherStellenbosch University

Working Group Members #

NamePositionAffiliation
Elie AlhajjarPolicy ResearcherRAND
Bikramaditya DattaAssociate ProfessorIIT Kanpur
Vinay Kumar JhaGraduate studentIIM Ahmedabad
Alessandro LeiteAssociate ProfessorINSA Rouen, Paris Saclay University
Subin MinGraduate studentUniversity of Michigan, Ann Arbor
Keziah NaggitaGraduate studentTTIC
Kuheli SaiGraduate studentUniversity of Pittsburgh
Jad SoucarGraduate studentUniversity of Southern California
Felipe VerásteguiGraduate studentColumbia University