Search results for " Spatial Econometrics"

showing 10 items of 13 documents

The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?

2002

International audience; The authors show that spatial dependence and spatial heterogeneity matter in the estimation of the ß-convergence process among 138 European regions over the 1980 to 1995 period. Using spatial econometrics tools, the authors detect both spatial dependence and spatial heterogeneity in the form of structural instability across spatial convergence clubs. The estimation of the appropriate spatial regimes spatial error model shows that the convergence process is different across regimes. The authors also estimate a strongly significant spatial spillover effect: the average growth rate of per capita GDP of a given region is positively affected by the average growth rate of …

AERES A Economie Gestion - CoNRS37-R2 - EconLitspatial dependence0211 other engineering and technologies02 engineering and technologyjel:C21Gross domestic productconvergence club convergence spatial econometrics European regions spatial regimes spatial autocorrelation050602 political science & public administrationEconometricsEconomics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesGrowth rateSpatial dependence[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSpatial analysisComputingMilieux_MISCELLANEOUSGeneral Environmental ScienceConvergence clubsconvergence05 social sciencesjel:C51General Social Sciences021107 urban & regional planningConvergence (economics)[SHS.ECO]Humanities and Social Sciences/Economics and Financespatial regimes0506 political scienceSpatial heterogeneityspatial econometricsSpatial econometricsjel:R11geographic spilloversjel:R15
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Geographical distribution of crime in Italian provinces: a spatial econometric analysis

2009

For a long time social sciences scholars from different fields have devoted their attention to identifying the causes leading to commit criminal offences and recently lots of studies have included the analysis of spatial effects. Respect to the Italian crime phenomenon some stylized facts exist: high spatial and time variability and presence of “organised crime” (e.g. Mafia and Camorra) deep-seated in some local territorial areas. Using explanatory spatial data analysis, the paper firstly explores the spatial structure and distribution of four different typologies of crimes (murders, thefts, frauds, and squeezes) in Italian provinces in two years, 1999 and 2003. ESDA allows us to detect som…

Economics and EconometricsStylized factbusiness.industryGeography Planning and DevelopmentDistribution (economics)jel:C21Commitjel:K42GeographyOrder (exchange)Settore SECS-S/03 - Statistica EconomicaCrime Spatial EconometricsDeterrence (legal)Spatial econometricsOrganised crimeEconomic geographybusinessSpatial analysisSocial Sciences (miscellaneous)Jahrbuch für Regionalwissenschaft
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The Role of Risk and Information for International Capital Flows: New Evidence from the SDDS

2012

In this paper, we investigate whether better information about the macroeconomic environment of an economy has a positive impact on its capital inflows, namely portfolio and foreign direct investment (FDI). The purpose of our study is to explicitly quantify information asymmetries by compliance with the IMF's Special Data Dissemination Standard (SDDS). For FDI, we fi nd statistically signi cant and robust support for this hypothesis: SDDS subscription increased inflows by an economically relevant magnitude of about 60 percent. We also find evidence of aversion against political and macroeconomic risk as determinants of portfolio and FDI flows and use a non-parametric test for spatial correl…

Macroeconomicsmedia_common.quotation_subjectjel:F21Monetary economicsForeign direct investmentPortfolio investmentjel:C33Interest rateInformation asymmetryjel:G14determinants of capital flows; information; panel data; risk; SDDS; IMF; FDI; portfolio investment; spatial econometricsCapital (economics)EconomicsGeneral Earth and Planetary SciencesPortfolioEconomic modelSpatial econometricsGeneral Environmental Sciencemedia_commonPanel dataSSRN Electronic Journal
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Geographical Distribution of Crime: A Spatial Econometric Analysis

2007

Since long time social sciences have focused their attention on the causes of crime activities and this attention evolved over time. The sociological school emphasised the role of neighbourhood in delinquency activities, their stability over time and the existence of a negative relation between crimes and business centres (Shaw and McKay, 1942). This perspective stimulated the analysis of the existing nexus between crime activities and their geographical proximity. The economics approach moved differently. Since late 60s the economic analyses devoted their attention to the detection of mechanisms affecting the choice and behaviour of criminals (Becker, 1968; Stigler, 1970; Ehrlich, 1973). B…

Settore SECS-S/03 - Statistica EconomicaCrime Spatial Econometrics
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Shooting down the price: Evidence from Mafia homicides and housing prices

2022

In this paper, we estimate the effect of the homicides by the Camorra, the Neapolitan Mafia, on housing prices in Naples. The study develops on a unique panel data set at the administrative district level for the period 2002–2018 of geo-localized homicides involving innocent victims (denoted as IVH), which are treated as exogenous shocks that negatively affect housing demand. We find that the occurrence of such homicides causes a decrease in housing prices in the range of 2.5–3.8 percentage points. This effect decreases with the distance from an IVH and over time. These results are robust to the utilization of different econometric specifications and to the considerations of possible confou…

camorra housing prices organized crime spatial econometricsorganized crimespatial econometricsGeography Planning and DevelopmentEnvironmental Science (miscellaneous)Settore SECS-P/01 - Economia Politicacamorrahousing price
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Clubs de convergence et effets de débordements géographiques : une analyse spatiale sur données régionales européennes, 1980-1995

2007

Our article offers an econometric model of spatial interactions for the empirical analysis of growth in European regions over the period 1980-1995. The model detects spatial spillover effects and makes it possible to take account of the European economy’s strong polarization. More specifically, by factoring in both spatial autocorrelation and spatial heterogeneity, we characterize the economic polarization pattern in European regions, identify convergence clubs, and model them as spatial regimes. We estimate a two-regime model with spatially autocorrelated errors and show that the convergence process differs between the two regimes. We find a strongly significant spatial spillover effect : …

convergenceclubs de convergence ; économétrie spatiale ; dépendance spatiale ; effets de débordements géographiques ; Classification JEL C21 - C51 - R11 - R15 ; â-convergence05 social sciences0211 other engineering and technologies021107 urban & regional planning02 engineering and technology[SHS.ECO]Humanities and Social Sciences/Economics and Financerégions européennesconvergence clubs ; ß-convergence ; spatial econometrics ; spatial dependence ; spatial spillover effects JEL Classification C21 - C51 - R11 - R150502 economics and business8. Economic growth[ SHS.ECO ] Humanities and Social Sciences/Economies and finances050207 economicsBusiness and International Management[SHS.ECO] Humanities and Social Sciences/Economics and FinanceGeneral Economics Econometrics and FinanceComputingMilieux_MISCELLANEOUSanalyse spatialeAERES B Economie Gestion - CoNRS37-R3 - EconLit - Code JEL : C21 R12
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Estimation des effets de proximité dans le processus de convergence régionale : une approche par l'économétrie spatiale sur 92 régions européennes (1…

2002

L'objectif de cet article est d'examiner les conséquences de la dépendance spatiale sur la croissance régionale et le processus de convergence. Sur un échantillon de 92 régions européennes sur la période 1980-1995, nous montrons que le modèle de b-convergence absolue doit être re-spécifié en raison de la présence d'auto-corrélation spatiale. Les méthodes de l'économétrie spatiale nous orientent vers une spécification avec erreurs spatialement auto-corrélées qui nous permet de mettre en évidence un effet de débordement géographique. Nous montrons ainsi que le taux de croissance d'une région est influencé positivement par les taux de croissance des régions contiguës.

convergenceéconométrie spatialeconvergence spatial econometrics spillover effects05 social sciencesspillover effects0211 other engineering and technologiesjel:C51effets de débordement021107 urban & regional planning02 engineering and technologyGeneral Medicine[SHS.ECO]Humanities and Social Sciences/Economics and Financespatial econometrics0502 economics and businessconvergencespatial econometricsspillover effectséconométrie spatialeeffets de débordement[ SHS.ECO ] Humanities and Social Sciences/Economies and finances050207 economicsjel:R11[SHS.ECO] Humanities and Social Sciences/Economics and Financejel:R15Revue d’Économie Régionale & Urbaine
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“I want creative neighbours”. Do creative service industries spillovers cross regional boundaries?

2014

The occurrence of creative service industries (CSI) is a strong determinant of differences in wealth amongst European regions. However, it is unknown if the strong effects are limited to occurring within regional boundaries or whether there are spillover effects into neighbouring regions. The purpose of this paper is to assess the existence of CSI spillover effects on the wealth of neighbouring regions. CSI and spillovers are integrated into both an empirical model and an endogenous growth model. Both models are estimated for a sample of 250 regions in the European Union in 2008. We find that most of the effects of CSI take place within regions, although there is also evidence that CSI has …

creative industries; creative services; regional growth; spatial spillovers; spatial econometrics
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''Dual'' gravity: Using spatial econometrics to control for multilateral resistance.

2007

We propose a quantity-based `dual' version of the gravity equation that yields an estimating equation with both cross-sectional interdependence and spatially lagged error terms. Such an equation can be concisely estimated using spatial econometric techniques. We illustrate this methodology by applying it to the Canada-U.S. data set used previously, among others, by Anderson and van Wincoop (2003) and Feenstra (2002, 2004). Our key result is to show that controlling directly for spatial interdependence across trade flows, as suggested by theory, significantly reduces border effects because it captures `multilateral resistance'. Using a spatial autoregressive moving average specification, we …

jel:C31[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:F12gravity equationspatial econometricsborder effectsGravity equations[ SHS.ECO ] Humanities and Social Sciences/Economies and financesjel:R12interregional tradeMulti-region general equilibrium trade modelsSpatial econometrics[SHS.ECO] Humanities and Social Sciences/Economics and FinanceBorder effectsgravity equations multi-region general equilibrium trade models; spatial econometrics border effects
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Growth and convergence in Africa: The impact of spatial effects

2010

The aim of this paper is to study the impact of spatial effects on convergence process in Africa over the period 1975-2000. Taking into account these effects through the methodology of Exploratory Spatial Data Analysis (ESDA) and spatial econometrics, we focus on the geographical dimension of economic convergence of African countries. This allows us to deal with spatial autocorrelation which is a consequence of econometric interdependences due to geographic spillovers. Indeed, countries economic performance hides specific geographical patterns providing information on the importance of location on economic dynamics. Our results prove the existence of convergence process in Africa through a …

jel:C31jel:O55geographic spillovers convergence clubs African subregions spatial econometricsjel:R11jel:R15
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