NDLI: Instability in spatial error models: an application to the hypothesis of convergence in the European case

Content Provider	Springer Nature Link
Author	Mur, Jesús López, Fernando Angulo, Ana
Copyright Year	2009
Abstract	This paper focuses on the hypothesis of stability in the mechanisms of spatial dependence that are usually employed in spatial econometric models. We propose a specification strategy for which the first step is to solve a local estimation algorithm, called the Zoom estimation. The aim of this stage is to detect problems of heterogeneity in the parameters and to identify the regimes. Then we resort to a battery of formal Lagrange Multipliers to test the assumption of stability in the processes of spatial dependence. The alternative hypothesis consists of the existence of several regimes in these parameters. A small Monte Carlo serves to confirm the behaviour of this strategy in a context of finite size samples. As an illustration, we solve an application to the case of the hypothesis of convergence for the per capita income in the European regions. Our results reveal the existence of a strong Centre-Periphery dichotomy in which instability extends to all the elements (coefficients of regression as well as parameters of spatial dependence) that intervene in a classical conditional β-convergence model.
Starting Page	259
Ending Page	280
Page Count	22
File Format	PDF
ISSN	14355930
Journal	Journal of Geographical Systems
Volume Number	12
Issue Number	3
e-ISSN	14355949
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-12-19
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Spatial dependence Spatial instability Monte Carlo Regional convergence Simulation and Modeling Quantitative Geography Regional/Spatial Science Computer Application in Social and Behavioral Sciences Geographical Information Systems/Cartography Landscape/Regional and Urban Planning
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Geography, Planning and Development Economics and Econometrics

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