Empirical Measures of Regional Convergence
Stilianos Alexiadis
Additional contact information
Stilianos Alexiadis: Ministry of Rural Development and Foods
Chapter Chapter 5 in Convergence Clubs and Spatial Externalities, 2012, pp 89-117 from Springer
Abstract:
Abstract The theoretical analysis of convergence presented thus far has examined the circumstances in which an economy converges towards an equilibrium level of output per-worker or a steady-state rate of growth. The possibility that groups of economies are likely to converge towards the same steady-state (absolute convergence) or towards different steady-states (conditional convergence) has also been examined. In discussing club convergence, the possibility of convergence towards a leading economy has also been addressed. In reality economies are not in equilibrium and are subject to all manner of shocks at different points in time. Therefore, an important question arises: ‘how is possible to test for convergence, when the steady-state is never achieved?’ The approach, in practice, is to direct empirical measures of convergence towards the process of convergence, rather than the equilibrium outcome.
Keywords: Regional Convergence; Absolute Convergence; Spatial Weight Matrix; Spatial Error Model; Conditional Convergence (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-642-31626-5_5
Ordering information: This item can be ordered from
http://www.springer.com/9783642316265
DOI: 10.1007/978-3-642-31626-5_5
Access Statistics for this chapter
More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().