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

The purpose of this article is to study the evolution GDP disparities among 138 European regions over period from 1980 1995. Regional per capitaGDPcross-sectional distribution characterized by means nonparametric estimations density functions, and growth process modeled as a first-order stationary Markov chain. Spatial effects are then introduced within chain framework using regional conditioning spatial chains. results analysis indicate persistence disparities, progressive bias toward...

Abstract This paper investigates the sensitivity of hedonic models house prices to spatial interpolation measures air quality. We consider three aspects this question: technique used, inclusion quality as a continuous vs discrete variable in model, and estimation method. Using sample 115,732 individual sales for 1999 South Coast Air Quality Management District Southern California, we compare Thiessen polygons, inverse distance weighting, Kriging splines carry out point ozone obtained at 27...

This article evaluates whether Airbnb rentals affect the rents in private rental sector eight cities France. We estimate a hedonic equation for each city on individual data apartments, allowing heteroscedasticity and spatial error autocorrelation of unknown forms using large variety structural contextual characteristics apartments. show that density puts upward pressure Lyon, Montpellier, Paris, whereas it has no significant effect other cities. If we restrict analysis to professional...

The aim of this paper is to analyze the intraurban spatial distributions population and employment in agglomeration Dijon (regional capital Burgundy, France). We study whether has followed general tendency job decentralization observed most urban areas or it still characterized by a monocentric pattern. To that purpose, we use sample 136 observations at communal IRIS (infraurban statistical area) levels with 1999 census data database SIRENE (INSEE). First, pattern total density using...

The aim of this paper is to analyze the intraurban spatial distributions population and employment in agglomeration Dijon (regional capital Burgundy, France). We study whether has followed general tendency job decentralization observed most urban areas or it still characterized by a monocentric pattern. To that purpose, we use sample 136 observations at communal IRIS (infraurban statistical area) levels with 1999 census data database SIRENE (INSEE). First, pattern total density using...

Abstract. In this paper, we suggest a framework that allows testing simultaneously for temporal heterogeneity, spatial and autocorrelation in β-convergence models. Based on sample of 145 European regions over the 1980–1999 period, estimate Seemingly Unrelated Regression Model with regimes two sub-periods: 1980–1989 1989–1999. The assumption independence between periods is rejected, estimation results point to presence error both sub-periods instability second sub-period, indicating formation...

The agglomeration patterns of twenty-six manufacturing and service sectors in around Paris 1999 are analysed. method used measures the intensity spatial identifies location economic sectors. First locational Gini coefficient Moran's I statistics global autocorrelation computed. These provide different but complementary information about under study. Then exploratory data analysis tools applied. Moran scatterplots local indicators association reveal great diversity across

Abstract Air quality and urban noise are major concerns in big cities. This article presents an evaluation of how they affect transaction prices downtown M adrid. For this purpose, we incorporated both objective subjective measures air used multilevel models, since our sample was hierarchically organized into three levels: 5,080 houses (level 1) 759 census tracts 2) 43 neighborhoods 3). Variables available for each level, individual characteristics the first various socioeconomic data other...

This paper extends the analysis by Dall'erba and Le Gallo dealing with impact of structural funds on growth process European regions. Like most other 18 contributions assessing efficiency funds, our article was based a global model β-convergence: one coefficient pertaining to variable estimated for whole sample. In this paper, we extend approach performing local estimations, where is each region, so that can be regionally differentiated. As in previous contribution, presence spatial...

L'objectif de cet article est présenter les outils nécessaires à la prise en compte l'autocorrélation spatiale, définie par l'absence d''indépendance entre observations géographiques, dans le cadre des modèles régression linéaire. Alors qu'il souvent admis que données spatiales observées coupe transversale sont indépendantes, cette hypothèse rarement justifiée et devrait être au contraire systématiquement testée. Par conséquent, après avoir exposé diverses façons modéliser nous présentons...

This paper investigates the spatial distribution of employment in region Ile-de-France 1978 and 1997. Exploratory data analysis is used to identify centres a sectoral central business district (CBD) sub-centres performed. The results highlight process suburbanisation between A more polarised space emerges 1997 than 1978, with several specialised different activities. Moreover, even if influence CBD declines over study period, maintains its economic leadership by concentrating large variety...

Abstract The regional economic convergence/divergence issue has been discussed extensively recently, but results obtained are not always interpretable unequivocally as a consequence of the different estimation strategies used. As it is widely recognized, most common theoretical framework applied to measure speed convergence among countries or regions remains β-convergence approach, linked neoclassical Solow model. There have many attempts consider variations basic cross-sectional...