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 stories targeting spatial phenomena, employing theoretical frameworks, analytical tools, and empirical systems in particular designed for spatial research. The sequence brings jointly leading edge spatial learn applying strategies, views, and strategies with a relevance to either simple technological know-how and coverage making. the purpose is to offer advances in spatial technology to an educated readership in universities, study agencies, and policy-making associations through the world.
The form of fabric thought of for e-book within the sequence includes:
- Monographs of theoretical and utilized examine in spatial science;
- state of the art volumes in components of easy research;
- experiences of cutting edge theories and techniques in spatial science;
- Tightly edited reviews shape in particular organised study seminars.
Manuscripts has to be ready based on the information for authors and editors which may be received from Springer-Verlag. Manuscripts thought of for the sequence can be reviewed through self sustaining specialists to make sure their originality, medical point, and overseas coverage relevance.
Read or Download Advances in Spatial Econometrics: Methodology, Tools and Applications PDF
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Additional info for Advances in Spatial Econometrics: Methodology, Tools and Applications
These estimators can be formulated as GMM estimators, but also turn out to be weighted nonlinear forms of familiar spatial two stage least squares and feasible generalized least squares estimators. He concludes his review with a very useful summary table. Here, he evaluates the different estimators in terms of the degree to which they address and/or solve various critical computational and methodological issues, such as the induced heteroskedasticity, the computation of a n-dimensional determinant, the evaluation of n-dimensional integrals, and the derivation of asymptotic standard errors.
An indirect measure of the willingness to pay for air quality may be derived from the parameters of hedonic models, in which the price (or value) of a house is regressed on its characteristics, including neighborhood characteristics and measures of air quality. A major concern in this respect is the proper specification of spatial externalities, or neighborhood effects, in the form of a model that incorporates spatially correlated errors or a spatial lag term. The chapter by Beron et al. ta set on housing transactions in the Los Angeles (CA) basin, spanning six time periods.
A multivariate quantitative analysis can reduce this, what Hendry (1984) calls, "specificity" of results of simulation experiments. " Meta-analysis is akin to the response surface technique developed in mainstream econometrics (see Hendry, 1984, for a discussion). Although Anselin (1980) does not use the terminology, he does employ the technique to summarize his experimental findings regarding spatial estimators. Kelejian and Robinson (1998), and Florax et at. (1998) also use response surface analysis to summarize the abundant output of their simulation experiments (see also Anselin and Moreno, 2003; Kelejian and Yuzefovich, 2001).