ECONOMETRIE SPATIALE 2. Hétérogénéité spatiale

作者: Julie Le Gallo

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摘要: Les methodes de l’econometrie spatiale visent a traiter les deux grandes particularites des donnees spatiales : l’autocorrelation qui se refere l’absence d’independance entre observations geographiques et l’heterogeneite est liee la differenciation dans l’espace variables comportements. Ces techniques ont connu nombreux developpements depuis une dizaine d’annees sont plus en appliquees etudes empiriques necessitant l’utilisation geographiques. L’objectif cet article presenter diverses facons permettant modeliser ainsi que procedures d’estimation d’inference adaptees aux modeles incorporant ces effets. L’article divise parties. La premiere partie (document travail n° 2000-05) consacree au probleme alors cette seconde 2001-01) porte sur le spatiale. (EN) Spatial econometric methods aim at taking into account the two special characteristics of spatial data: autocorrelation, which is lack independence between geographical observations, and heterogeneity, related to differentiation behaviors in space. These have been mostly developed last ten years are more often applied empirical studies with data. The this present way autocorrelation heterogeneity can be incorporated regression relationships estimation inference adapted models incorporating these effects. This divided parts. first part deals (working paper n°2000-05) second n°2001-01).

参考文章(66)
A. Stewart Fotheringham, Martin Charlton, Chris Brunsdon, Measuring Spatial Variations in Relationships with Geographically Weighted Regression Research Papers in Economics. pp. 60- 82 ,(1997) , 10.1007/978-3-662-03499-6_4
Frits P. Agterberg, Trend Surface Analysis Springer, Dordrecht. pp. 147- 171 ,(1984) , 10.1007/978-94-017-3048-8_8
Jushan Bai, Pierre Perron, Estimating and testing linear models with multiple structural changes Econometrica. ,vol. 66, pp. 47- 78 ,(1998) , 10.2307/2998540
François Des Rosiers, M. Theriault, P Villeneuve, Y Kestens, House Prices and Spatial Dependence: Towards an Integrated Procedure to Model Neighborhood Dynamics Research Papers in Economics. ,(1999)
William S. Cleveland, Susan J. Devlin, Eric Grosse, Regression by local fitting: Methods, properties, and computational algorithms Journal of Econometrics. ,vol. 37, pp. 87- 114 ,(1988) , 10.1016/0304-4076(88)90077-2
A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton, Quantitative Geography: Perspectives on Spatial Data Analysis ,(2000)
David L. Sjoquist, Larry D. Schroeder, "Investigation of Population Density Gradients Using Trend Surface Analysis": Reply Land Economics. ,vol. 53, pp. 239- 245 ,(2016)
Richard E. Quandt, The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes Journal of the American Statistical Association. ,vol. 53, pp. 873- 880 ,(1958) , 10.1080/01621459.1958.10501484
Keith Ord, Estimation Methods for Models of Spatial Interaction Journal of the American Statistical Association. ,vol. 70, pp. 120- 126 ,(1975) , 10.1080/01621459.1975.10480272