Descriptif
Teachers:
Romain de Nijs (romain.de-nijs@polytechnique.edu) and Michelangelo Rossi (michelangelo.rossi@telecom-paris.fr)
Overview:
The overall objective of the course is to describe and analyze the functioning of the sharing (or peerto-peer) economy. This analysis will be based on factual descriptions of peer-to-peer platforms / markets in specific sectors (e.g., short-term housing market (AirBnB), for-hire transportation market (Uber, Lyft), etc.) but also on analysis using economic theory models as well as empirical analysis of some of these markets. We will aim to identify the critical features that differentiate the sharing economy from other industries, and examine the implications for business strategy.
The class will discuss topics such as platform markets, algorithms (price and recommandation), trust mechanisms used by platforms, taxation issues, impact of the sharing economy on the labor market and labor laws, the regulation of peer-to-peer platforms.
To complement the economic theory, students will present a case study (on one particular platform or sector) each week. These case studies have three aims: to provide applications for the concepts developed during the class, to inform you about different industries; and to help develop your written, rhetorical and presentation skills.
Grade: The final grade is based on two presentations, and a short note on an academic paper..
effectifs minimal / maximal:
/25Diplôme(s) concerné(s)
- MScT-Economics, Data Analytics and Corporate Finance
- MScT-Economics for Smart Cities and Climate Policy
- Echanges PEI
- Titre d’Ingénieur diplômé de l’École polytechnique
Parcours de rattachement
Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme Echanges PEI
Le rattrapage est autorisé (Note de rattrapage conservée)Pour les étudiants du diplôme MScT-Economics, Data Analytics and Corporate Finance
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 4 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Economics for Smart Cities and Climate Policy
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 4 ECTS
La note obtenue rentre dans le calcul de votre GPA.