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Brenda L. Volling, Richard Gonzalez, Liu Tan et Lauren Bader
2021sous la direction de Regina Kuersten-Hogan et James McHale, 2021
Bruno Jullien et Wilfried Sand-Zantman
vol. 54, n° 100880, 2021
We propose an analysis of platform competition based on the academic literature with a view towards competition policy. First, we discuss to which extent competition can emerge in digital markets and show which forms it can take. In particular, we underline the role of dynamics, but also of...
Laurent Miclo et Stéphane Villeneuve
vol. 58, n° 4, 2021, p. 1043–1063
We revisit the forward algorithm, developed by Irle, to characterize both the value function and the stopping set for a large class of optimal stopping problems on continuous-time Markov chains. Our objective is to renew interest in this constructive method by showing its usefulness in solving some...
Daniel F. Garrett, Renato Gomes et Lucas Maestri
vol. 79, n° 102735, décembre 2021, 32 pages
We study competition by firms that simultaneously post (potentially nonlinear) taris to consumers who are privately informed about their tastes. Market power stems from informational frictions, in that consumers are heterogeneously informed about firms' oers. In the absence of regulation, all firms...
Nicolo Cesa-Bianchi, Tommaso Cesari, Yishay Mansour et Vianney Perchet
2021
We introduce a novel theoretical framework for Return On Investment (ROI) maximization in repeated decision-making. Our setting is motivated by the use case of companies that regularly receive proposals for technological innovations and want to quickly decide whether they are worth implementing. We...
Henrik Andersson
sous la direction de Roger Vickerman, 2021
Individuals and society value safety, but safety does not have an easily available market price. This is a problem for cost-benefit analysis (CBA), which is a powerful tool to evaluate government policies, as it requires that all benefits and costs are measured in a common metric, which usually is...
Daniel Fischer, Alain Berro, Klaus Nordhausen et Anne Ruiz-Gazen
vol. 50, n° 11, 2021, p. 3397–3419
The R-package REPPlab is designed to explore multivariate data sets using one-dimensional unsupervised projection pursuit. It is useful as a preprocessing step to find clusters or as an outlier detection tool for multivariate data. Except from the packages tourr and rggobi, there is no...
Jean-Pierre Florens et Anna Simoni
vol. 39, n° 2, 2021, p. 482–492
Hervé Guyomard, Zohra Bouamra-Mechemache, Vincent Chatellier, Luc Delaby, Cécile Détang-Dessendre, Jean-Louis Peyraud et Vincent Réquillart
vol. 15, n° 100283, décembre 2021
Throughout the world, animal production faces huge sustainability challenges. The latter are exacerbated in the European Union (EU) by consumption issues linked, in particular, to the health and environmental impacts of meat consumption, and by the increasing societal concerns linked to animal...
Manh-Hung Nguyen, Dung P. Le et Thang T. Vo
This article investigates the impact of flood risk on vulnerability and welfare at the household level in Vietnam. The analytical sample is taken from a household survey conducted in a north central Vietnam community through a three-stage stratified random sampling method. The propensity score...
