Regional economic convergence and spatial quantile regression

2019/06/11 by Alfredo Cartone, Cartone, Alfredo, Geoffrey Jd Hewings +3
Economics, Econometrics and Finance · Social Sciences · #Applications (stat.AP) #Econometrics (econ.EM) #Economic Growth and Productivity #FOS: Computer and information sciences #FOS: Economics and business #Regional Development and Policy #Regional Economics and Spatial Analysis

paper · pdf · doi:10.48550/arxiv.1906.04613

openalex publication_date 2019/06/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The presence of \beta-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.

Citations

• Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research
• Galton's Fallacy and Tests of the Convergence Hypothesis
• Multiple regimes and cross‐country growth behaviour
• A Contribution to the Theory of Economic Growth
• THE CASE FOR REGIONAL DEVELOPMENT INTERVENTION: PLACE‐BASED VERSUS PLACE‐NEUTRAL APPROACHES*
• A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model
• A Contribution to the Empirics of Economic Growth
• Increasing Returns and Long-Run Growth

Related

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• Regional Economic Growth and Steady States with Free Factor Movement: Theory and Evidence from Europe
• European funds and the dynamics of economic growth among EU regions: A spatial modelling approach