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Karine Nyborg (University of Oslo)
Toulouse: TSE, November 9, 2020, 11:00–12:30, room Zoom
Actively choosing to learn tends to involve market failure: if the new knowledge is not shared with everyone else, learning produces asymmetric information; if the new knowledge is welfare relevant and shared with everyone, learning essentially amounts to private provision of a public good,...
Alipio Ferreira (Toulouse School of Economics)
TSE, November 6, 2020, 11:00–12:30, room Zoom
Deforestation in the Brazilian Amazon has fallen sharply since the early 2000s. Better enforcement of environmental law is believed to play a major role in this success story, and the literature provides support to this theory. Deforestation is one of the greatest culprits of carbon emissions in...
Kurt Mitman (IIES, Stockholm University)
November 6, 2020, BDF Paris, room 14h30 - 15h30
Floriane Fesquet (EDF)
Toulouse: TSE, November 5, 2020, 17:00–18:00, room Auditorium 3
Enno Mammen (Heidelberg University)
Toulouse: TSE, November 5, 2020, 11:00–12:15, room Zoom
In the talk we will discuss Poisson reduced rank models for low-dimensional summaries of high-dimensional Poisson vectors that allow for inference on the location of individuals in a low-dimensional space. We show that under weak dependence assumptions, the locations can be consistently estimated...
Fabien Panloup (Université d'Angers)
Toulouse: TSE, November 5, 2020, 09:30–10:45, room Auditorium 5
In this talk, I will introduce a new multilevel-Langevin method dedicated to the Gibbs sampling. More precisely, this procedure both inspired by [Szpruch et al., 2016] et [Pagès-Panloup, 2018] is based on a multilevel combination of pathwise averages of discretized schemes of overdamped-Langevin...
Luke Nicholas Taylor
TSE, November 3, 2020, 15:30–17:00, room Zoom
We estimate the likelihood of miscarriages of justice by reframing the problem in the context of misclassified binary choice models. Our estimator is based on new nonparametric identification results, for which we provide methods to empirically test the key identifying assumptions and alternative...
Zhijun Chen (Monash University)
November 3, 2020, 14:00–15:00, Zoom Meeting
Recent years have seen growing cases of data-driven tech mergers such as Google/Fitbit, in which a dominant digital platform acquires a relatively small rm possessing a large volume of consumer data. The digital platform can consolidate the consumer data with its existing data set from other...
Yena Park (University of Rochester)
TSE, November 3, 2020, 14:00–15:30, room Zoom
We analyze efficient risk-sharing arrangements when coalitions may deviate. Coalitions form to insure against idiosyncratic income risk. Self-enforcing contracts for both the original coalition and any deviating coalition rely on a belief in future cooperation, and we treat the contracting...
Moritz Meyer-Ter-Vehn (University of California - Los Angeles)
Toulouse: TSE, November 3, 2020, 11:00–12:30, room Zoom
This paper proposes a tractable model of Bayesian learning on social networks in which agentschoose whether to adopt an innovation. We consider both deterministic and random networks,and study the impact of the network structure on learning dynamics and diffusion. In directed“tree like” networks (e...
