
Frontiers in Economic Analysis with Genetic Data
Frontiers in Economic Analysis with Genetic Data is a conference organized by BRIDGE (BRInging Data on Genetics to Economics) and sponsored by the Center for the Economics of Human Development (CEHD) at the University of Chicago, and the National Institute on Aging as the funder of the Research Network on the Determinants of Life Course Capabilities and Outcomes. Genetic data are becoming commonly available in many social science datasets. These data open new avenues for economists to explore long-standing questions related to intergenerational linkages, factors that shape health and human capital outcomes, and heterogeneous responses to policy change, among others. Our organization has several objectives. First, we hope to introduce genetic data and methods from statistical genetics to economists not already familiar with these topics. Second, by highlighting cutting-edge applications, we want to explore the potential for genetic data to enable progress in the study of core questions in applied economics. Finally, by putting statistical geneticists and genoeconomists in conversation with a broad range of economists, we seek to understand how the tools of economics can be used to better understand and interpret molecular genetic findings.
Conference Organizers

Jason Fletcher
CDHA Director, UW–Madison

Mikkel Houmark
Aarhus University

Nicholas Papageorge
Johns Hopkins University

Lauren Schmitz
UW–Madison

Kevin Thom
University of Wisconsin–Milwaukee
Sessions & Videos
Introduction to Molecular Genetics and Polygenic Prediction

James Lee
University of Minnesota
James Lee, University of Minnesota
Applications Session 1: Genetic Correlations In The Family

John Cawley
Cornell University

Bhash Mazumder
Chicago Fed

Pierre-Andre Chiappori
Columbia University

Aloysius Siow
University of Toronto
John Cawley, Cornell University
Discussant: Bhash Mazumder, Federal Reserve Bank of Chicago
Pierre-Andre Chiappori, Columbia University
Discussant: Aloysius Siow, University of Toronto
Aplications Session 2: Genetic Endowments And Human Capital Accumulation

Paul Hufe
University of Bristol

Chao Fu
University of Wisconsin–Madison

Dilnoza Muslimova
Erasmus University

Francesco Agostinelli
University of Pennsylvania
Paul Hufe, University of Bristol
Discussant: Chao Fu, University of Wisconsin–Madison
Dilnoza Muslimova, Erasmus University
Discussant: Francesco Agostinelli, University of Pennsylvania
Featured Panel: Econometrics Of Polygenic Prediction

James Lee
University of Minnesota

Qiongshi Lu
University of Wisconsin–Madison

John Rust
Georgetown University

Ben Williams
George Washington University
James Lee, University of Minnesota
Discussant: Qiongshi Lu, University of Wisconsin–Madison
John Rust, Georgetown University
Discussant: Ben Williams, George Washington University
Student / Postdoc Short Talks

Kadeem Noray
Harvard University

Shubhashrita Basu
University of Wisconsin–Madison

Yeongmi Jeong
University of Georgia

Jiacheng Miao
University of Wisconsin–Madison
Kadeem Noray, Harvard University
Shubhashrita Basu, University of Wisconsin–Madison
Yeongmi Jeong, University of Georgia
Jiacheng Miao, University of Wisconsin–Madison
Applications Session 3: Genetic Endowments And Health Outcomes Over The Life-cycle

Lauren Schmitz
University of Wisconsin–Madison

Hannes Schwandt
Northwestern University

Pietro Biroli
University of Bologna

Dan Sacks
University of Wisconsin–Madison

Nick Papageorge
Johns Hopkins University

Rong Hai
University of Miami
Lauren Schmitz, University of Wisconsin–Madison
Discussant: Hannes Schwandt, Northwestern University
Pietro Biroli, University of Bologna
Discussant: Dan Sacks, University of Wisconsin–Madison
Nick Papageorge, Johns Hopkins University
Discussant: Rong Hai, University of Miami