Gig Economy Workers: Algorithmic Pricing and Transparency in the Gig Economy
The Fishman-Davidson Center supported Professor Gad Allon in conducting the research entitled “Gig Economy Workers: Algorithmic Pricing and Transparency in the Gig Economy.”
Abstract: 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.
Generative AI’s Effect on E-Commerce Activities in US
The Fishman-Davidson Center supported Professor Lynn Wu in conducting the research entitled “Generative AI’s Effect on E-Commerce Activities in US.”
Improving Classroom Education via Large Language Models
The Fishman-Davidson Center supported Professor Hamsa Bastani in conducting the research entitled “Improving Classroom Education via Large Language Models.”
Data-driven Metrics for Optimal Location of Renewable Energy Generation Sites
The Fishman-Davidson Center supported Professor Serguei Netessine in conducting the research entitled “Data-driven Metrics for Optimal Location of Renewable Energy Generation Sites.”
Supply Chain Resilience Strategies: An Analysis of Company Responses to Disruptions
The Fishman-Davidson Center supported Professor Morris Cohen in conducting the research entitled “Supply Chain Resilience Strategies: An Analysis of Company Responses to Disruptions.”