Search results for "Économétrie"

showing 10 items of 17 documents

Les limites de la procédure d'estimation de Kmenta d'une fonction CES généralisée

1982

Biais d'estimationModélisation économétrique[ SHS.ECO ] Humanities and Social Sciences/Economies and financesÉconométrie[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and Finance
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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…

Effet de traitementSUTVAEffets d’interactionTreatment effectEvaluation of public policiesGrand ParisSpatial econometricsÉvaluation de politiques publiques[SHS.ECO] Humanities and Social Sciences/Economics and FinanceInteraction effectsÉconométrie spatiale
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Économétrie spatiale : l'autocorrélation spatiale dans les modèles de régression linéaire

2002

Spatial Econometrics : Automatic Spatial Correlation in Linear Regression Models. The aim of this article is to describe the tools necessary to factor in automatic spatial correlation determined by the absence of independence between geographical observations, within the framework of linear regression models. While it is often accepted that spatial data in cross-sections are independent, this assumption is rarely justified. On the contrary, it needs to be tested systematically. After explaining the ways in which to model automatic spatial correlation, we therefore describe estimation and inference procedures geared to econometric models that factor in this effect explicitly. Lastly, we prop…

Geographyéconométrie spatiale ; autocorrélation spatiale ; effets de débordement géographiquesBusiness and International ManagementHumanitiesGeneral Economics Econometrics and FinancePériodiques Scientifiques en Édition Électronique
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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 …

JEL : C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction ModelsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesCROISSANCE URBAINE[SHS.ECO]Humanities and Social Sciences/Economics and FinanceURBAN GROWTHJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R11 - Regional Economic Activity: Growth Development Environmental Issues and ChangesINTERNATIONAL FIRM NETWORKSJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivityJEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C31 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction ModelsSPILLOVERSSPATIAL ECONOMETRICSJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic ActivityRESEAUX DES FIRMES MULTINATIONALESINSTITUTIONS[ SHS.ECO ] Humanities and Social Sciences/Economies and financesÉCONOMÉTRIE SPATIALEJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity
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Généralisation de l'analyse des transformations aux modèles simultanés

1979

International audience

JEL: C - Mathematical and Quantitative Methods[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Education[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[ SHS.EDU ] Humanities and Social Sciences/Education[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : C - Mathematical and Quantitative MethodséconométrieComputingMilieux_MISCELLANEOUS
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Nature et impacts des effets spatiaux sur les valeurs immobilières : le cas de l'espace urbanisé francilien

2013

International audience

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C52 - Model Evaluation Validation and SelectionJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demand[SHS.STAT]Humanities and Social Sciences/Methods and statisticséconométrie spatialemodèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C12 - Hypothesis Testing: General[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C52 - Model Evaluation Validation and SelectionJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternseffets de voisinage[SHS.STAT] Humanities and Social Sciences/Methods and statisticsJEL : C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C12 - Hypothesis Testing: General[ SHS.ECO ] Humanities and Social Sciences/Economies and financesvaleurs immobilières[SHS.ECO] Humanities and Social Sciences/Economics and Finance[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsComputingMilieux_MISCELLANEOUS
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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…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingC520Modèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric ModelingJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions[SHS.ECO]Humanities and Social Sciences/Economics and FinanceC120C520R140R210 [Hedonic modelhousing valueneighborhood effectsspatial econometricsModèle hédoniquevaleur immobilièreeffets de voisinageéconométrie spatiale JEL Classification]JEL : C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile RegressionsR210JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternsspatial econometricsvaleur immobilièreeffets de voisinageneighborhood effectsHedonic model[ SHS.ECO ] Humanities and Social Sciences/Economies and financeshousing valueéconométrie spatiale JEL Classification : C120[SHS.ECO] Humanities and Social Sciences/Economics and FinanceR140
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L'économétrie des variables qualitatives

1978

International audience

Variable qualitative[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/EducationÉconométrieModèle de régression[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUS
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Une nouvelle méthode d'analyse des réseaux

1994

International audience

[SHS.GEO] Humanities and Social Sciences/Geography[SHS.GEO]Humanities and Social Sciences/GeographyéconométrieComputingMilieux_MISCELLANEOUS[ SHS.GEO ] Humanities and Social Sciences/Geographyanalyse des réseaux
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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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