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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Mendes, D. A. & Mendes, V. (2014). Parametric Models in Spatial Econometrics: A Survey. In Pasquale Commendatore, Saime Kayam, Ingrid Kubin (Ed.), Complexity & Geographical Economics: Topics and Tools. (pp. 3-18). Berlin, Germany: Springer.
Exportar Referência (IEEE)
D. E. Mendes and V. M. Mendes,  "Parametric Models in Spatial Econometrics: A Survey", in Complexity & Geographical Economics: Topics and Tools, Pasquale Commendatore, Saime Kayam, Ingrid Kubin, Ed., Berlin, Germany, Springer, 2014, vol. 19, pp. 3-18
Exportar BibTeX
@incollection{mendes2014_1730877707632,
	author = "Mendes, D. A. and Mendes, V.",
	title = "Parametric Models in Spatial Econometrics: A Survey",
	booktitle = "Complexity & Geographical Economics: Topics and Tools",
	year = "2014",
	volume = "19",
	series = "Dynamic Modeling and Econometrics in Economics and Finance",
	edition = "1",
	pages = "3-3",
	publisher = "Springer",
	address = "Berlin, Germany",
	url = "http://www.springer.com/economics/regional+science/book/978-3-319-12804-7"
}
Exportar RIS
TY  - CHAP
TI  - Parametric Models in Spatial Econometrics: A Survey
T2  - Complexity & Geographical Economics: Topics and Tools
VL  - 19
AU  - Mendes, D. A.
AU  - Mendes, V.
PY  - 2014
SP  - 3-18
DO  - 10.1007/978-3-319-12805-4_3
CY  - Berlin, Germany
UR  - http://www.springer.com/economics/regional+science/book/978-3-319-12804-7
AB  - The main purpose of this chapter is to review the parametric spatial econometric models that can be applied to regional economics. Spatial econometric methods are based on regression analysis applied to
cases where spatial interactions and spatial structures are fundamental characteristics of the process under discussion. The review presented here outlines the basic terminology, the spatial data dependence, the
specification of spatial effects, and some basic spatial regression models, i.e., the spatial autoregressive (SAR) model (or spatial lag model), the spatial error model (SEM), the spatial Durbin model (SDM) and the general spatial models—SAC and SARMA. The maximum  likelihood estimation for SAR and SEM models it is also presented with some detail.In the context of the European Union, we should emphasize several
empirical works in the particular areas of urban economics, economic growth and productivity, and studies dealing with agglomeration and externalities (spillovers). We provide a brief survey of some of the results obtained in these particular areas.
ER  -