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There is an increasing awareness of the potentials of nonlinear modeling in regional science. This can be explained partly by the recognition of the limitations of conventional equilibrium models in complex situations, and also by the easy availability and accessibility of sophisticated computational techniques. Among the class of nonlinear models, dynamic variants based on, for example, chaos theory stand out as an interesting approach. However, the operational significance of such approaches is still rather limited and a rigorous statistical-econometric treatment of nonlinear dynamic modeling experiments is lacking. Against this background this paper is concerned with a methodological and empirical analysis of a general misspecification test for spatial regression models that is expected to have power against nonlinearity, spatial dependence, and heteroskedasticity. The paper seeks to break new research ground by linking the classical diagnostic tools developed in spatial econometrics to a misspecification test derived directly from chaos theory-the BDS test, developed by Brock, Dechert, and Scheinkman (1987). A spatial variant of the BDS test is introduced and applied in the context of two examples of spatial process models, one of which is concerned with the spatial distribution of regional investments in The Netherlands, the other with spatial crime patterns in Columbus, Ohio. [ABSTRACT FROM AUTHOR]

This paper examines the effects of state economic development incentives on the growth of 366 Ohio manufacturing and nonmanufacturing establishments that launched major expansions between 1993 and 1995. Growth is measured as the actual employment change that occurred in these establishments and as the employment growth announced when expansions were launched. Empirical findings indicate that incentives have very little (or even a negative) effect on actual growth and they have a substantial positive effect on announced growth. Findings also suggest that establishments that received incentives overestimated their announced employment targets more than establishments that did not receive incentives. [ABSTRACT FROM AUTHOR]