Search results for "SPATIAL ECONOMETRICS"

showing 10 items of 41 documents

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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Growth dynamics and space in Brazil

2003

The authors bring together two strands of the empirical literature and analyze the geography of the regional economic performance of the states of the Brazilian Federation from 1939 to 1998. Using tools from spatial statistics, they examine the spatial dependence of regional per capita income in Brazil during the past six decades. They also examine the role of geography in explaining economic growth patterns using intradistribution dynamic tools based on Markov transition matrices and stochastic kernels in a discrete and a continuous framework. The analyses reveal the existence of two spatial clusters in Brazil, a low-income cluster in the northeast and a high-income cluster in the southea…

Markov chain05 social sciences0211 other engineering and technologies0507 social and economic geographyGeneral Social Sciences021107 urban & regional planning02 engineering and technologySpace (commercial competition)EconomyDynamics (music)Economicsddc:330Spatial econometricsEconomic geographyLiterature study050703 geographySpatial analysisGeneral Environmental Science
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Spatial effects in housing price models : do housing prices capitalize urban development policies in the agglomeration of Dijon (1999) ?

2004

In this article we suppose that the integration of accessibility and neighborhood variables in hedonic housing models doesn't allow to take into account the spatial effects between the housing prices. Using a sample of 1520 transactions of apartments in the urban area of Dijon, we focus on two types of location variables : the distance to the CBD and the distance to several Disadvantaged Districts located in peripheral areas. We detect the presence of a spatial error autocorrelation in the hedonic model indicating that the valuation of the price of an apartment is locally influenced by the prices of the neighboring apartments. Then, we estimate a spatial error model which shows that the loc…

Politiques urbainesPrix immobiliersModèles hédoniquesHedonic modelsQuartiers sensiblesHousing pricesDisadvantaged districtsSpatial econometrics[SHS.ECO] Humanities and Social Sciences/Economics and FinanceUrban development policiesEconométrie spatiale
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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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Geographical Distribution of Crime in Italian Provinces: A Spatial Econometric Analysis

2008

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…

Stylized factGeographybusiness.industryPhenomenonDeterrence (legal)Distribution (economics)Spatial econometricsOrganised crimeEconomic geographyCommitbusinessSpatial analysisSSRN Electronic Journal
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A Spatial Difference-in-Differences Estimator to Evaluate the Effect of Change in Public Mass Transit Systems on House Prices

2014

Evaluating the impact of public mass transit systems on real-estate values is an important application of the hedonic price model (HPM). Recently, a mathematical transformation of this approach has been proposed to account for the potential omission of latent spatial variables that may overestimate the impact of accessibility to mass transit systems on values. The development of a Difference-in-Differences (DID) estimator, based on the repeat-sales approach, is a move in the right direction. However, such an estimator neglects the possibility that specification of the price equation may follow a spatial autoregressive process with respect to the dependent variable. The objective of this pap…

Variablesbusiness.industryEconomies of agglomerationmedia_common.quotation_subjectEstimatorTransportationManagement Science and Operations Research[SHS.ECO]Humanities and Social Sciences/Economics and Financespatial differenceTransformation (function)Price equationAutoregressive modelPublic transportEconomicsEconometrics[ SHS.ECO ] Humanities and Social Sciences/Economies and financespublic massSpatial econometricsbusiness[SHS.ECO] Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUStransit systemsCivil and Structural Engineeringmedia_common
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Direct and indirect knowledge spillovers and industrial productivity

2016

AbstractThis paper analyses the importance of externalities related to the spread of innovation across sectors. Such spillover effects arise from R&D activities and input–output (IO) linkages among sectors in the country. We borrow Spatial Econometrics techniques to make consistent estimates of the impact of these systematic direct and indirect spillovers on sector’s productivity and the possibility of other types of productivity spillovers in the error term. We find that direct spillovers emanating from IO horizontal linkages determine sector’s productivity, while the indirect effects prove to be negligible. Furthermore, the technological intensity of IO linkages and the productive structu…

business.industry05 social sciencesInternational tradeGeneral Business Management and AccountingKey factorsSpillover effectManagement of Technology and Innovation0502 economics and businessEconomicsSpatial econometricsEconomic geography050207 economicsbusinessProductivityExternality050205 econometrics Industry and Innovation
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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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