Search results for "Spatial econometrics"
showing 10 items of 41 documents
Essay on the integration of interactions in the treatment effect evaluation : the contribution of spatial econometrics methods
2015
This thesis focuses on the integration of interactions in the estimation of the public policy’s effect. Indeed, the estimation standard methods usually rely on strong assumptions that exclude partially or completely the interaction effect both in the selection process of beneficiaries and in the performance of the policy. However, the validity of these assumptions is questionable, particularly in the context of a non-experimental policy because an individual according as it is the beneficiary or not the policy, is not isolated: he interacts with his neighborhood. Thus, the estimated effect of the policy by traditional methods is likely to be biased (underestimation or overestimation) theref…
Past price “memory” in the housing market: testing the performance of different spatio-temporal specifications.
2017
ABSTRACTRecent methodological developments provide a way to incorporate the temporal dimension when accounting for spatial effects in hedonic pricing. Weight matrices should decompose the spatial effects into two distinct components: bidirectional contemporaneous spatial connections; and unidirectional spatio-temporal effects from past transactions. Our iterative estimation approach explicitly analyses the role of time in price determination. The results show that both spatio-temporal components should be included in model specification; past transaction information stops contributing to price determination after eight months; and limited temporal friction is exhibited within this period. T…
Dealing with spatial data pooled over time in statistical models
2012
Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled over time and proposes a simple way to take into account unidirectional temporal effect as well as multidirectional spatial effect in the estimation process. An empirical example, using data on 25,357 single family homes sold in Lucas County, OH (USA), between 1993 and 1998 (available in the MatLab library), is used to illustrate the potential of the approach proposed.
Spatial econometrics and the hedonic pricing model: what about the temporal dimension
2014
Recent ready access to free software and toolbox applications is directly impacting spatial econometric modelling when working with geolocated data. Spatial econometric models are valuable tools for taking into account the possible latent structure of the price determination process and ensuring that the coefficients estimated are unbiased and efficient. However, mechanical applications can potentially bias estimated coefficients if spatial data is pooled over time because the applications consider the spatial dimension alone. Spatial models neglect the fact that data (e.g. real estate) may consist of a collection of spatial data pooled over time, and that time relations generate a unidirec…
Innovation and R&D spillover effects in Spanish regions: A spatial approach
2007
Abstract This paper analyses the spatial patterns of innovation, its regional interdependencies and evolution, as well as its role in determining local innovation in Spanish regions. Results indicate the suitability of a trade-based regional proximity when considering spatial spillovers in innovation. In this context, not only local capacity is relevant in determining domestic innovation, but also spatial innovation spillovers, which result mainly from efforts in both higher education and public administration. Moreover, a minimum level of regional development is required to improve the effectiveness of R&D policies. Therefore, it is necessary for R&D policies to act in combination with oth…
Interactions, spillovers de connaissance et croissance des villes européennes. Faut-il préférer la géographie, le climat institutionnel ou les réseau…
2013
Knowledge spillovers within urban economies are also sources of spillovers between cities. We examine how knowledge spillovers influenced the economic growth of 82 European metropolises over the 1990-2005 period. We model knowledge spillovers between cities on the basis of five specific interaction patterns based on geography, networks of multinational firms in advanced services, institutional climate and two combinations of these factors. Spatial models are estimated to detail the effects of growth factors in terms of spillovers and externalities. We show that spillovers are local rather than global and that interactions among cities accelerate the convergence process based on gross value …
NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)
2009
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…
Spatial effects of urban public policies on housing values
2009
International audience; Problems of spatial segregation have often stressed on the social status and social capital of a neighbourhood as main driving forces behind housing price formation. In this paper, it is assumed that spatial effects are additional variables worth considering since the impact of urban policies such as social housing policies and urban regeneration policies may permeate outside the areas where they are implemented. Our case study is of the urban area of Dijon (France), where these two types of urban policies have been implemented in the last three decades. Spatial effects are introduced in the hedonic model and a spatial error model is estimated, revealing a positive a…
Spatial Autocorrelation in Econometric Land Use Models: An Overview
2021
International audience; This chapter provides an overview of the literature on econometric land use models including spatial autocorrelation. These models are useful to analyze the determinants of land use changes and to study their implications for the environment (carbon stocks, water quality, biodiversity, ecosystem services). Recent methodological advances in spatial econometrics have improved the quality of econometric models allowing them to identify more precisely the determinants of land use changes and make more accurate land use predictions. We review the current state of the literature on studies which account explicitly for spatial autocorrelation in econometric land use models …
Stratégies d'influences et politiques de maîtrise de la croissance locale
2010
Over the last ten years, real estate prices have risen considerably and accordingly to most observers, this can at least partly be attributed to an insufficient supply, due to local growth control measures. This thesis tries to understand what motivates local authorities implementing such policies. Local politicians are considered as opportunistic and their decision is modelled as the result of a political struggle between different land-related interests. This game for influence mainly opposes the owners of developed and undeveloped land, who find allies amongst local business interests that might form growth or ideas machines. Our first model describes this struggle under different hypoth…