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Ananya Sen (Canergie Mellon University)
July 28, 2020, 14:00–15:00, room Zoom meeting
We run a field experiment to quantify the economic returns to data and informational externalities associated with algorithmic recommendation in the context of online news. Our results show that personalized recommendation can outperform human curation in terms of user engagement, though this...
Lester Chan (Boston University)
July 15, 2020, 14:00–15:00, room Zoom Meeting
Strong network effects typically lead to multiple equilibria in two-sided markets. To overcome the methodological challenge of selecting an appropriate equilibrium, this paper shows that many two-sided market models are weighted potential games, and thus potential maximization, a refinement of Nash...
Andrey Fradkin (Boston University)
June 30, 2020, 14:00–15:00, room Meeting Zoom
Large digital platforms are economically important and are increasingly the subject of regulatory scrutiny. These platforms may improve welfare if network effects are sufficiently large but they may also harm users if they exercise market power or reduce product variety. We study the merger of the...
En ligne, June 22, 2020, 11:00
June 22–24, 2020
Renato Gomes
June 18–19, 2020, room Zoom meeting
Maryam Saeedi (Canergie Mellon University)
June 16, 2020, 14:00–15:00, room Zoom Meeting
This paper considers the design of an optimal rating system, in a market with adverse selection. We address two critical questions about rating design: First, given a number of categories, what are the criteria for setting the boundaries between them? Second, what are the gains from increasing the...
Jack Bao (University of Delaware)
June 16, 2020, BDF Paris
Stefan Pollinger
June 12, 2020, 14:00–15:00, room Zoom Video
This paper shows that an optimal combination of case detection and social distancing allows for quick eradication of COVID-19, ending the current pandemic at low additional human and economic costs. The first contribution is theoretical, and the results hold for any infectious disease, e.g., a...
June 11–13, 2020
