Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
SE7 - TIE5: Platform operations
Time:
Sunday, 25/June/2023:
SE 16:30-18:00

Location: Mont Royal II

4th floor

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Presentations

Stopping the revolving door: an empirical and textual study of crowdfunding and teacher turnover

Samantha Keppler, Jun Li, Andrew Di Wu

University of Michigan - Ross School of Business

Organizational support improves worker retention. In K-12 education, teacher crowdfunding platforms bridge resource gaps. We analyze teachers' actions on DonorsChoose and employment data. Crowdfunding reduces attrition rates by 1.7 pp, benefiting projects that personalize classrooms and teaching pedagogy. Identity-relevant resources decrease school and system exit by 1.8-2.4 pp. Findings highlight the role of accessible resources in enhancing worker retention.



On the supply of autonomous vehicles in open platforms

Daniel Freund1, Ilan Lobel2, Jiayu Zhao1

1MIT; 2NYU Stern

AVs revolutionize transportation, but cost barriers persist. Open platforms with human drivers aid deployment. Incentive alignment in the supply chain is vital. We analyze the game involving platforms, AV suppliers, and contractors. Underutilization risk affects profit. Contracting solutions align the chain, ensuring half of optimal profit. Misalignment hampers AV adoption. Contracts mitigate efficiency loss.



Algorithmic pricing, transparency, and discrimination in the gig economy

Daniel Chen, Gad Allon, Ken Moon

The Wharton School, United States of America

Algorithms control pricing and match customers and workers in the gig economy. However, algorithms face several critiques: they lack transparency, can be biased, and can be inefficient. We empirically analyze these issues and show that algorithms lose efficiency from two sources: competition between platforms and misaligned worker incentives. We model workers' strategic responses to variation in pricing and estimate counterfactuals on the effects of minimum wage and transparent pricing policies.



 
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