The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.
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The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.
The importance and relevance of methods to deal with spatial effects in econometric models has grown in recent years, in part due to a renewed interest in the role of space and spatial interaction in social science theory, the availability of large socio-economic data sets with geo-referenced observations, and the development of an efficient and low cost computational technology to handle such observations, in the form of geographical information systems. This volume reflects the state of the art and indicates new directions for research and applications. These include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.
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Berlin, Springer 1995. XIX, 420 S., OPappband Neuwertig. Artikel-Nr. 120629
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Pictorial Boards (Hardcover). Zustand: Very Good Plus. First Edition. 1995. xix, 420pp. "The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data." Contents include: Small sample properties of tests for spatial dependence in regression models: some further results, by Luc Anselin and Raymond JGM FLorax; The impacts of misspecified spatial interaction in linear regression models, by Raymond JGM FLorax and Serge Rey; Spatial effects on probit models: a Monte Carlo investigation, by Daniel McMillen; Estimating logit models with spatial dependence, by Robin Dubin; The general linear model and spatial Autoregressive models, by Daniel Griffith; and A Multiprocess mixture model to estimate space-time dimensions of weekly priving of certificates of deposit, by James LeSage; et.al. Book has light wear to corners. Few light bits of foxing to front egdge. Bookseller's sticker to rear board. Excellent condition with no inscriptions. Artikel-Nr. Science084
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Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Salissures sur la tranche. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Stains on the edge. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations. Artikel-Nr. D-803-569
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