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11:30 AM - 1:00 PM
Callen Anthony: NYU Stern School of Business
GUARDIANS OF THE TEMPLATE: HOW AUTOGRAPHIC AFFILIATIONS SHAPE TECHNOLOGY USE
Strategy
12:00 PM - 1:30 PM
Subrina Shen: The University of Texas at Austin
Incoming Performance Spillover Information and Guided Distant Search: Knowing How Others’ Ideas Affect Me Benefits My Idea Generation
Strategy
2:00 PM - 3:20 PM
David Ridley: Duke University
Optimal Conditional Drug Approval
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12:00 PM - 1:30 PM
Peer Fiss: USC Marshall School of Business
UNPACKING THE GENDER GAP IN TECHNOLOGY ENTREPRENEURSHIP: A SET-ANALYTIC APPROACH
Strategy
12:00 PM - 1:30 PM
Carolyn Fu: Harvard Business School
Experimental Pas de Deux: Coupled Firm and Audience Learning at the Ballet
Strategy
12:00 PM - 1:30 PM
Henning Piezunka: INSEAD
TBD
Strategy
GUARDIANS OF THE TEMPLATE: HOW AUTOGRAPHIC AFFILIATIONS SHAPE TECHNOLOGY USE
Speaker: Callen Anthony: NYU Stern School of Business
Time: 11:30 AM - 1:00 PM
Location:
Incoming Performance Spillover Information and Guided Distant Search: Knowing How Others’ Ideas Affect Me Benefits My Idea Generation
Speaker: Subrina Shen: The University of Texas at Austin
Time: 12:00 PM - 1:30 PM
Location:
Optimal Conditional Drug Approval
Speaker: David Ridley: Duke University
Time: 2:00 PM - 3:20 PM
Location:
Tuck Center for Healthcare and Dartmouth Dept of Economics present: David Ridley Duke University October 16, 2024 2:00 - 3:20pm 310 Silsby Optimal Conditional Drug Approval Abstract: Regulators often grant conditional approval for drugs based on limited testing, with final approval pending confirmatory trials. Critics argue that this can lead to wasted spending on unproven drugs and question whether confirmatory testing is as costly as firms claim. In our model, we analyze optimal approval policies where firms have private information about testing costs, and the regulator's payoff depends on the drug's expected effectiveness. While critics are correct that some money is wasted on ineffective drugs, our model shows how conditional approval allows patients faster access, encourages drug development, and leads to earlier price reductions.UNPACKING THE GENDER GAP IN TECHNOLOGY ENTREPRENEURSHIP: A SET-ANALYTIC APPROACH
Speaker: Peer Fiss: USC Marshall School of Business
Time: 12:00 PM - 1:30 PM
Location:
Experimental Pas de Deux: Coupled Firm and Audience Learning at the Ballet
Speaker: Carolyn Fu: Harvard Business School
Time: 12:00 PM - 1:30 PM
Location:
TBD
Speaker: Henning Piezunka: INSEAD
Time: 12:00 PM - 1:30 PM
Location: