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  • Post-doc position opening Deep Learning for corporate data

    The position is a 1-year position funded by CNRS in the form of a Postdoc Fellowship and focuses on research and development of state-of-the-art Machine Learning and Data Analytics methodologies targeting corporate data. The selected candidate will be employed by the CNRS and will have an office at the university Paris Nanterre.... En savoir plus



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Documents de travail

Disponible aussi dans les archives RePEc
RePEc is a decentralized database and world's largest collection of economics working papers, journal articles and software components

5 derniers documents de travail publiés dans REPEC

2020-19 "Emissions Trading with Transaction Costs"
Anouk Faure, Marc Baudry, Simon Quemin
2020-18 "Robustness of the Balassa-Samuelson effect: evidence from developing and emerging economies"
Florian Morvillier
2020-17 "The Wage-Maximisation Property"
Christian Bidard
2020-16 "Exchange rate predictive densities and currency risks: A quantile regression approach"
Niango Ange Joseph Yapi
2020-15 "Why do insurers fail? A comparison of life and non-life insolvencies using a new international database"
George Overton, Olivier de Bandt


Selon la classification du CNRS de juin 2019 (v. 5.05). Site de la section 37 du Comité National de la Recherche Scientifique

3 dernières publications dans des revues de rang 1 et rang 2

Couharde Cécile, Mouhoud Sara, (2020), « Fossil fuel subsidies, income inequality, and poverty: Evidence from developing countries », Journal of Economic Surveys, (A paraître).
Melindi-Ghidi Paolo, Dedeurwaerdere Tom, Fabbri Giorgio, (2020), « Using Environmental Knowledge Brokers to Promote Deep Green Agri-environment Measures », Ecological Economics, (A paraître).
Mignon Valérie, Lopez Villavicencio Antonia, (2020), « Exchange rate pass-through to import prices: Accounting for changes in the Eurozone trade structure », Review of World Economics, (A paraître).


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