Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/85434
Authors: 
de Graaff, Thomas
Florax, Raymond J.G.M.
Nijkamp, Peter
Reggiani, Aura
Year of Publication: 
1998
Series/Report no.: 
Tinbergen Institute Discussion Paper 98-072/3
Abstract: 
There is an increasing awareness of the potential of nonlinear modeling in regional science, which can partly be explained by the recognition of the limitations of conventional equilibrium models in complex situationsand partly by the easy availability and accessibility of sophisticated computational techniques. Among the class of nonlinear models chaos theory stands out as an interesting approach, in which notable progress hasbeen made in economic research. However, the operational significance– in terms of solid empirical tests on chaos – has still been rather limited and a rigorous statistical-econometric treatment of chaos phenomena isstill lacking. This paper is concerned with a methodological and empirical analysis of chaos in spatial systems. It seeks to break new research ground by linking the classical diagnostic tools developed in spatial econometrics to nonlinearity tests for empirical data series, in particular the so-called BDS (Brock, Dechert, Scheinkman) test. A spatial variant of the BDS test is developed, and subsequently applied in the context of a shift-share model for Dutch regional labor markets.
Subjects: 
chaos theory
misspecification tests
spatial dependence
nonlinearity
shift-share model
regional labor markets
JEL: 
C12
C14
C45
R12
R23
Document Type: 
Working Paper

Files in This Item:
File
Size
230.43 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.