0000000001212631

AUTHOR

Diego Legros

NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)

In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables. In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We notably stress on three sides of neighborhood effects: social capital, social status and social externalities and consider the accessibility to the primary economic center as describing the urban spatial trend. Using spatial econometrics specifications of the hedonic equation, we estimate whether spatial effects impact the housing values. Our empirical case concerns the Metropolitan Area (MA) of Paris i…

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Matrices de pondérations et contexte spatio-temporel en économétrie spatiale

International audience

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Nature et impacts des effets spatiaux sur les valeurs immobilières : le cas de l'espace urbanisé francilien

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Location Theories and Business Location Decision: A Micro-Spatial Investigation of a Nonmetropolitan Area in Canada

International audience; This paper draws on location theories to statistically identify the relationship between the location of individual business establishments and the characterization of their local economic environment. Taking a microspatial perspective, the paper develops indicators from distance-based measures (DBM) to serve as independent variables in a discrete choice model (DCM). Using a 2006 database of individual business establishments in the Lower-St-Lawrence region—a coherent, nonmetropolitan subsystem of cities in the province of Québec, Canada—we provide an empirical analysis of the determinants of individual establishments’ location decisions in relation to their main eco…

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A spatio-temporal measure of spatial dependence: An example using read estate data

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Spatial Data and Econometrics

242 pages; International audience

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Spatial spillovers in France: a study on individual count data at the city level

Our study aims to measure the effects of spatial R&D spillovers on firms' patent production at the city level. We use an original method to estimate the spatial dimension of spillovers using count data. The method, based on a generalized cross entropy approach, allows us to test spatial auto-correlation. The main result is that when there are local spillovers, their impact on knowledge production is different according to the geographical area and the sector.

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L’analyse de la criminalité à Chicago : de nouvelles perspectives offertes par l’économétrie spatiale à une question ancienne

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Location Theories and Business Location Decisions : A Micro-Spatial Investigation from Canada

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Multimodalité et tendances démographiques : les changements démographiques et leurs impacts sur l'utilisation des modes, CADMIUM : Comparative Analysis of Demographic Modifications and Impact on the longitudinal Use of Modes

Les sociétés européennes connaissent un changement lent mais continu de leur structure démographique qui, parmi beaucoup d'autres impacts, ont comme conséquence des modifications du partage modal et de la multimodalité (utilisation alternée de plusieurs modes au cours d'une période d'observation déterminée). Ce processus montre une grande inertie, et il est nécessaire d'estimer ces changements sur une longue période. En outre, l'hétérogénéité des comportements entre les générations successives doit être prise en compte, des jeunes familles actives aux nouvelles générations de retraités, avec des habitudes de mobilité plus importantes que chez les précédentes. Ce contexte rend nécessaire une…

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Proposition of a Simultaneous Selling Price and Time-on-Market Equation System Accounting for Endogenous Problem : How a Spatio-temporal Framework can Help?

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Does innovation is the only source of firm’s productivity? An empirical investigation on French manufacturing firms

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