Regional economic convergence and spatial quantile regression
Applications
2019-06-12 v1 Econometrics
Abstract
The presence of \b{eta}-convergence in European regions is an important issue to be analyzed. In this paper, we adopt a quantile regression approach in analyzing economic convergence. While previous work has performed quantile regression at the national level, we focus on 187 European NUTS2 regions for the period 1981-2009 and use spatial quantile regression to account for spatial dependence.
Cite
@article{arxiv.1906.04613,
title = {Regional economic convergence and spatial quantile regression},
author = {Alfredo Cartone and Geoffrey JD Hewings and Paolo Postiglione},
journal= {arXiv preprint arXiv:1906.04613},
year = {2019}
}
Comments
Draft version