Show simple item record

dc.contributor.authorOlejnik, Alicja
dc.date.accessioned2015-07-02T09:54:39Z
dc.date.available2015-07-02T09:54:39Z
dc.date.issued2013
dc.identifier.issn0208-6018
dc.identifier.urihttp://hdl.handle.net/11089/10461
dc.description.abstractThis study presents some remarks on procedure for space-time process investigation by the use of multidimensional panel spatial autoregressive model. It is shown that information on the strength and significance of the spatial interactions is given by the model. Motivation for the use of multidimensional dependence structure as well as some empirical examples are provided. It is argued that such approach could allow for more accurate description of the spatial dependence, whose true form often has a spatio-temporal character. It is emphasised that failure to recognise these multidimensional effects may lead to incorrect inference and therefore to biased conclusions.pl_PL
dc.description.abstractPrzedmiotem referatu jest ocena procesu przestrzenno-czasowego z zastosowaniem wielowymiarowej macierzy wag przestrzennych. W szczególności zakłada się, że podejście wielowymiarowe pozwala na lepszy opis struktury zależności przestrzennych. Praca ma na celu pokazać nowo opracowaną metodologię dotyczącą wielowymiarowego autoregresyjnego modelu przestrzennego WAMP z uwzględnieniem wymiaru czasowego. Zatem całość rozważań stanowi nowy element ekonometrii przestrzennej, a poprzez włączenie dodatkowej informacji na temat badanego zjawiska umożliwia wnikliwszą jego analizę.pl_PL
dc.language.isoenpl_PL
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl_PL
dc.relation.ispartofseriesActa Universitatis Lodziensis, Folia Oeconomica;292
dc.titleAssessing the Space-Time Structure with a Multidimensional Perspectivepl_PL
dc.title.alternativeZastosowanie podejścia wielowymiarowego do oceny struktury przestrzennoczasowej zjawisk ekonomicznychpl_PL
dc.typeArticlepl_PL
dc.page.number[37]-45pl_PL
dc.contributor.authorAffiliationUniversity of Lodzpl_PL
dc.referencesAnselin L. (1988), Spatial Econometrics: Methods and Models, Kluwer, Dordrechtpl_PL
dc.referencesAnselinL., Bera A.K. (1998), Spatial dependence in linear regression models with an introduction to spatial econometrics,(in:) Ullah A., Giles D. (eds.), Handbook of Applied Economic Statistics, Marcel Dekker, New Yorkpl_PL
dc.referencesAnselin L., Smirnov O. (1996), Efficient algorithms for constructing proper higher order spatial lag operators, Journal of Regional Science, Wiley, 36pl_PL
dc.referencesBesner C. (2002), A Spatial Autoregressive Specification with a Comparable Sales Weighting Scheme, Journal of Real Estate Research, American Real Estate Society, New York, 24pl_PL
dc.referencesBodson P., Peeters D. (1975), Estimations of the Coefficients of a Linear Regression in the Presence of Spatial Autocorrelation: An Application to a Belgian Labour-Demand Function,‘ Environment and Planning’ A 7 (4)pl_PL
dc.referencesCliff A., Ord, J.K. (1981), Spatial Processes: Models and Applications, London: Pionpl_PL
dc.referencesDacey M.F. (1968), A Review of Measures of Contiguity for Two and K-Color Maps,(in): Englewood Cliffs SpatialAnalysis: A Reader in Statistical Geography, Prentice-Hallpl_PL
dc.referencesDeng M. (2008), An anisotropic Model For Spatial Processes, Geographical Analysis, Wiley 40(1)pl_PL
dc.referencesEUROSTAT (2002), European regional Statistics. Reference guide, European Communities, Luxembourgpl_PL
dc.referencesFingleton B. (2006),The new economic geography versus urban economics: an evaluation usinglocal wage rates in Great Britain, Oxford Economic Papers, 58pl_PL
dc.referencesFujita M., Krugman P., Venables A. (1999), The Spatial Economy: Cities, Regions, and International Trade, MIT Press, Cambridge MApl_PL
dc.referencesGetis A., Aldstadt J.(2004), Constructing the Spatial Weights Matrix Using A Local Statistic,‘ Geographical Analysis’,Wiley, 36pl_PL
dc.referencesKelejian H.H., Prucha I.R. (1998), A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances, ‘Journal of Real Estate Finance and Economics’, Springer, 17pl_PL
dc.referencesMankiw N., Romer D. Weil D. (1992), A contribution to the Empirics of Growth, Quarterly Journal of Economics, 107pl_PL
dc.referencesOlejnik A. (2008), Using the spatial autoregressively distributed lag model in assessing the regional convergence of per-capita income in the EU25, Papers in Regional Science, Wiley, 87/3pl_PL
dc.referencesOlejnik A. (2012a), Multidimensional spatial process of productivity growth in EU 22, working paperpl_PL
dc.referencesOlejnik A. (2012b), Spatial autoregressive model – a multidimensional perspective with an example study of the spatial income process in the EU 25, working paperpl_PL
dc.referencesOrd J.K., Getis A. (1995), Local Spatial Autocorrelation Statistics: Distributional Issues and an Application,‘Geographical Analysis’ 27pl_PL


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record