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