At the end of the year, the doctoral students in CREST’s economics cluster organized a series of seminars for first-year doctoral students.
Cohesion & multidisciplinarity
Cohesion between doctoral students is essential. It fosters collaboration, the exchange of ideas and mutual support, creating an environment conducive to learning. Peer solidarity allows to share experiences, solve problems in groups and develop crucial skills. By fostering a team spirit, the cohesion between doctoral students contributes to their personal development and success in their doctoral studies.
These seminars provide another opportunity for first-year doctoral students to present their research. They highlight the theme of their research, as well as the specific questions they are tackling, and the methodology envisaged throughout their doctorate.
CREST doctoral students and researchers are invited to take in these seminars, where their experience in presenting their research enables young doctoral students to practice presenting their project clearly and concisely to people outside the field, thus providing a fresh and stimulating perspective.
The sessions also facilitate the establishment of links with researchers working in similar fields, giving PhD students the opportunity to obtain advice based on the experience of these researchers.
By emphasizing multidisciplinary within the same cluster, these seminars encourage doctoral students to benefit from reflections from the literature and approaches from other fields of research within CREST. This approach stimulates multidisciplinary reflection, enriching the research work of each student.
List of presentations
|Camille Boissel||Heterogeneous responses to labour policy|
|Sébastien Cerles||A model of advertising|
|Aurélien Frot||Job search biases in the data|
|Gaëtan Menard||Productivity in health economics|
|Clément Montes||A model of economic sanctions|
|Théo Roudil-Valentin||Corporate taxation following shocks|
|Pedro Vergara Merino||Econometrics of randomized experiment: theory and simulation|
|Vincent Verger||Natural Language Processing applied to political economy|
|Yiyun Zheng||A model of platforms and reputation|