# Regional economic convergence and spatial quantile regression

## TL;DR

This paper investigates economic convergence among European regions using spatial quantile regression to account for spatial dependence, providing a nuanced understanding of regional disparities over time.

## Contribution

It introduces a spatial quantile regression approach to analyze regional economic convergence, extending previous national-level studies to European NUTS2 regions.

## Key findings

- Identifies patterns of convergence and divergence across regions.
- Highlights the importance of spatial dependence in regional economic analysis.
- Provides detailed insights into regional disparities over nearly three decades.

## 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.

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Source: https://tomesphere.com/paper/1906.04613