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Spatial Econometric Modelling Of Massive Datasets: The Contribution Of Data Mining
Tabasso, Myriam; Arbia, Giuseppe - 2013
could benefit from the cross-fertilization spatial data mining techniques such as Classification and Regression Trees (CART …). We use the CART algorithm to fit empirical data and produce a tree with optimal tree size for different specifications of …-residuals obtained from the regression tree analysis and we compare the accuracy and performance of different versions of CART that take …
Persistent link: https://www.econbiz.de/10011397527
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Spatial econometric modelling of massive datasets : the contribution of data mining
Arbia, Giuseppe; Tabasso, M. - 2013
could benefit from the cross-fertilization spatial data mining techniques such as Classification and Regression Trees (CART …). We use the CART algorithm to fit empirical data and produce a tree with optimal tree size for different specifications of …-residuals obtained from the regression tree analysis and we compare the accuracy and performance of different versions of CART that take …
Persistent link: https://www.econbiz.de/10011532588
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Estimation of Spatial Weights Matrix in a Spatial Error Model, with an Application to Diffusion in Housing Demand
Bhattacharjee, Arnab; Jensen-Butler, Chris - Centre for Research into Industry, Enterprise, Finance … - 2005
This paper proposes a methodology for estimation of spatial weights matrices which are consistent with a given or estimated pattern of spatial autocovariance. This approach is potentially useful for applications in urban, environmental, development, growth and other areas of economics where...
Persistent link: https://www.econbiz.de/10005671116
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Growth, Technological Interdependence and Spatial Externalities: Theory and Evidence.
ERTUR, Cem; KOCH, Wilfried - Laboratoire d'Économie de Dijon (LEDI), Université de … - 2005
This paper presents a theoretical model, based on the neoclassical growth literature, which explicitly takes into account technological interdependence among economies and examines the impact of location and neighborhood effects in explaining growth. Technological interdependence is supposed...
Persistent link: https://www.econbiz.de/10005750955
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Estimation of the spatial weights matrix under structural constraints
Bhattacharjee, Arnab; Jensen-Butler, Chris - In: Regional Science and Urban Economics 43 (2013) 4, pp. 617-634
While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds the definition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model, the spatial weights matrix is only...
Persistent link: https://www.econbiz.de/10010666087
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Estimation of the Spatial Weights Matrix under Structural Constraints
Bhattacharjee, Arnab; Jensen-Butler, Chris - Department of Economics Studies, University of Dundee - 2011
While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds definition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model the spatial weights matrix is only...
Persistent link: https://www.econbiz.de/10010562055
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Asymptotic F Test in a GMM Framework with Cross Sectional Dependence
Kim, Min Seong; Sun, Yixiao - Department of Economics, Ryerson University - 2012
The paper develops an asymptotically valid F test that is robust to spatial autocorrelation in a GMM framework. The test is based on the class of series covariance matrix estimators and ?fixed-smoothing asymptotics. The fi?xed-smoothing asymptotics and F approximation are established under mild...
Persistent link: https://www.econbiz.de/10010567101
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Space-time analysis of GDP disparities among European regions: A Markov chains approach
LE GALLO, Julie - Laboratoire d'Économie de Dijon (LEDI), Université de … - 2001
The purpose of this paper is to study the evolution of the disparities between 138 European regions over the 1980-1995 period. We characterize the regional per capita GDP cross-sectional distribution by means of nonparametric estimations of density functions and we model the growth process as a...
Persistent link: https://www.econbiz.de/10005579051
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Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools
Battistin, Erich; De Nadai, Michele; Vuri, Daniela - 2014
We derive bounds for the average of math and language scores of elementary school students in Italy correcting for pervasive score manipulation. Information on the fraction of manipulated data is retrieved from a natural experiment that randomly assigns external monitors to schools. We show how...
Persistent link: https://www.econbiz.de/10010398314
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Counting rotten apples : student achievement and score manipulation in Italian elementary schools
Battistin, Erich; De Nadai, Michele; Vuri, Daniela - 2014
We derive bounds for the average of math and language scores of elementary school students in Italy correcting for pervasive score manipulation. Information on the fraction of manipulated data is retrieved from a natural experiment that randomly assigns external monitors to schools. We show how...
Persistent link: https://www.econbiz.de/10010398754