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    Covid-19 impact on bike-sharing systems: Lessons from Toulouse and Lyon

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    Based on bike-sharing systems (BSS) data in Toulouse and Lyon, this study examines the impact of COVID-19 on relevant variables to BSS usage. Our findings indicate significant changes in longer travel distances, which would be explained by users who use the BSS at peak hours. Also, there is evidence of a higher willingness to use BSS under adverse weather conditions (such as rain and wind), less substitution with the public transport system in Lyon, and recovery and even a slight increase of BSS trips for Toulouse and Lyon, respectively. These results suggest long-term changes in user habits, offering an excellent opportunity to develop public policies to promote cycling further

    Media mergers in nested markets

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    We analyze the effect of media mergers in a model that stresses, on the one hand, the fact that media are two-sided platforms willing to attract advertisers and viewers and, on the other hand, that strong competitors have emerged to challenge traditional media on both sides. We show that a merger has two conflicting effects on traditional media's incentives to invest in quality programs and to exploit their market power. When competition is primarily between traditional media, a Business-Stealing Effect dominates, and the merger is detrimental to advertisers and viewers. When the competition is mainly between the traditional media and their new competitors, an Ecosystem Effect dominates, and the merger benefits advertisers and viewers. We extend this setting to discuss the role of financial constraints that might limit investments in the quality of programs and show that the same effects are at play

    Des enjeux de la jurisprudence Rastelli

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    Le droit conventionnel des gérants de succursales

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    Personalization and privacy choice

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    This paper studies consumers’ privacy choices when firms can use their data to make personalized offers. We first introduce a general framework of personalization and privacy choice, and then apply it to personalized recommendations, personalized prices, and personalized product design. We argue that due to firms’ reaction in the product market, consumers who share their data often impose a negative externality on other consumers. Due to this privacy-choice externality, too many consumers share their data relative to the consumer optimum; moreover, more competition, or improvements in data security, can lower consumer surplus by encouraging more data sharing

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