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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 includes clinical stories targeting spatial phenomena, applying theoretical frameworks, analytical equipment, and empirical techniques in particular designed for spatial research. The sequence brings jointly cutting edge spatial study using ideas, views, and techniques with a relevance to either simple technological know-how and coverage making. the purpose is to offer advances in spatial technological know-how to an educated readership in universities, learn enterprises, and policy-making associations through 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 components of simple research;

- stories of leading edge theories and strategies in spatial science;

- Tightly edited stories shape specifically organised study seminars.

Manuscripts needs to be ready in response to the information for authors and editors that could be received from Springer-Verlag. Manuscripts thought of for the sequence should be reviewed by means of autonomous specialists to make sure their originality, clinical point, and overseas coverage relevance.

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Extra info for Advances in Spatial Econometrics: Methodology, Tools and Applications

Example text

They implement three sets of nested specifications, one including all the usual sitespecific characteristics, including air quality measures as well as all neighborhood variables (county dummies, and variables pertaining to the city, school district or census tract containing the individual properties). The other two are "restricted" specifications, one without county dummy variables, and one without the dummies and all other regional variables. Each of the three models is estimated by means of ordinary least squares.

The properties of a Likelihood Ratio test derived by using the RIS simulator are evaluated in a Monte Carlo simulation exercise. The LR test is used on a number of artificial data sets with the spatial structure based on both the contiguity for the US states as well as randomly generated spatial weights. The power of the LR test turns out to be rather weak in the small data sets employed in the experiment, suggesting 16 Anselin, FJorax and Rey that much larger samples may be needed before the asymptotic properties apply.

The empirical findings are generally supportive of recent theories of urban agglomeration in the Krugman-style new economic geography. This chapter constitutes a first attempt to stage formal new economic geography models in a spatial econometric setting. ). In "Does trade liberalization cause a race-to-the-bottom in environmental policies? A spatial econometric perspective," Paavo Eliste and Per Fredriksson use data on agricultural trade flows and environmental standards to assess whether countries strategically interact in setting their environmental regulations.

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