Research output per year
Research output per year
BS8 1TN
United Kingdom
The Centre for Structural Econometrics (CSE) is a unique research centre, dedicated to studying the usefulness of explicitly incorporating economic theory (structure) into empirical analyses. CSE brings together applied economic theorists and econometricians to foster the development of new structural models and estimation techniques capable of addressing a wide range of fundamental economic topics. These topics include, but are not limited to, female labour force participation, gender pay differentials, earnings dynamics, immigration flows, housing, mortgage, and portfolio choices, firm investment decisions, price formation, auctions, and economic growth and development.
The overriding objectives of CSE are to uncover the relative advantages of adopting a structural framework for empirical work, in comparison to more widespread a-theoretical approaches to econometric analysis, and ultimately to advance theory-based applied economic research in the UK and internationally, thus yielding new insights into underlying mechanisms of the economy, and better informing decision-makers in both the public and private sectors.
Person: Academic , Member
Person: Academic , Member
Person: Academic , Member
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Research output: Contribution to journal › Article (Academic Journal) › peer-review
3/06/19 → 26/07/19
Project: Research
Temple, J. R. W.
1/04/12 → 1/04/14
Project: Research
Supervisor: Jolivet, G. (Supervisor) & Iaria, A. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
Jolivet, G. R. (Creator) & Postel-Vinay, F. (Creator), Zenodo, 4 Mar 2024
DOI: 10.5281/zenodo.10462481, https://zenodo.org/records/10462481
Dataset
Feltovich, N. (Creator) & Giovannoni, F. (Creator), Harvard Dataverse, 2 May 2022
DOI: 10.7910/dvn/dayscx, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/DAYSCX
Dataset
De Magalhaes, L. M. (Creator) & De Magalhaes, L. M. (Contributor), Harvard Dataverse, 12 Dec 2019
DOI: 10.7910/dvn/ucw2ry/h5sww1, https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/UCW2RY/H5SWW1
Dataset
Fabien Y B Postel-Vinay (Speaker)
Activity: Participating in or organising an event types › Invited talk
Fabien Y B Postel-Vinay (Speaker)
Activity: Participating in or organising an event types › Invited talk
Engin Kara (Editor)
Activity: Publication peer-review and editorial work types › Publication peer-review