By Luc Anselin, Raymond Florax, Sergio J. Rey
Advances in Spatial Science
This sequence of books is devoted to reporting on fresh advances in spatial technology. It comprises clinical reviews concentrating on spatial phenomena, making use of theoretical frameworks, analytical tools, and empirical strategies particularly designed for spatial research. The sequence brings jointly leading edge spatial learn applying techniques, views, and techniques with a relevance to either simple technology and coverage making. the purpose is to provide advances in spatial technology to an educated readership in universities, study corporations, and policy-making associations in the course of the world.
The kind of fabric thought of for booklet within the sequence includes:
- Monographs of theoretical and utilized learn in spatial science;
- state of the art volumes in parts of uncomplicated research;
- experiences of leading edge theories and strategies in spatial science;
- Tightly edited studies shape in particular organised study seminars.
Manuscripts has to be ready based on the ideas for authors and editors that could be acquired from Springer-Verlag. Manuscripts thought of for the sequence may be reviewed by means of self sustaining specialists to make sure their originality, medical point, and overseas coverage relevance.
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Extra resources for Advances in Spatial Econometrics: Methodology, Tools and Applications
These cause agglomeration effects to determine marginal labor productivity. The key empirical implication of this model is that the dynamic evolution of wages will mimic spatial characteristics, such as geographical distance and proximity. S. census data for metropolitan area populations from 1900 to 1990, with data sources for earnings and schooling. S. urban spatial evolution. He employs an econometric specification that resembles a spatial lag model, although it is different from the usual formulation in that it involves a switching regression framework and a varying spatial proximity matrix.
The results provide strong support for increasing returns, and significant coefficients for catch up, peripherality and urbanization effects. More importantly, the spatial autoregressive (lag) coefficient is highly significant, indicating the existence of cross-region spatial externalities. Fingleton employs the estimated coefficients in a simulation exercise to track the path towards deterministic and stochastic equilbrium in a regional system. The use of an explicit spatial econometric model underlying this simulation allows for the movement of one region to simultaneously influence and be influenced by that of other regions.
In the empirical application, Moreno et al. estimate a spatial lag model with additional cross-regressive terms in a flexible translog specification. The model is nonlinear in the parameters, and the authors demonstrate the necessary changes that need to be made to apply Lagrange Multiplier tests against spatial effects in a model estimated by nonlinear least squares. The study uses data for 12 manufacturing industries in 15 Spanish regions (at the NUTS II level) during the period 1980-1991. The results suggest that sectoral spillovers yield significant cost reductions.
Advances in Spatial Econometrics: Methodology, Tools and Applications by Luc Anselin, Raymond Florax, Sergio J. Rey