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Improving the multi-dimensional comparison of simulation results: a spatial visualization approach

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  • Daniel Arribas-Bel
  • Julia Koschinsky
  • Pedro Amaral

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Suggested Citation

  • Daniel Arribas-Bel & Julia Koschinsky & Pedro Amaral, 2012. "Improving the multi-dimensional comparison of simulation results: a spatial visualization approach," Letters in Spatial and Resource Sciences, Springer, vol. 5(2), pages 55-63, July.
    • Handle: RePEc:spr:lsprsc:v:5:y:2012:i:2:p:55-63
    DOI: 10.1007/s12076-011-0064-x
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    References listed on IDEAS

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    1. Stanislav Stakhovych & Tammo H.A. Bijmolt, 2009. "Specification of spatial models: A simulation study on weights matrices," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 389-408, June.
    2. Lambert, Dayton M. & Brown, Jason P. & Florax, Raymond J.G.M., 2010. "A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application," Regional Science and Urban Economics, Elsevier, vol. 40(4), pages 241-252, July.
    3. Anselin, Luc & Moreno, Rosina, 2003. "Properties of tests for spatial error components," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 595-618, September.
    4. Hwa-Lung Yu & George Christakos & Patrick Bogaert, 2010. "Dealing with Spatiotemporal Heterogeneity: The Generalized BME Model," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 75-91, Springer.
    5. Fernando López & Jesús Mur & Ana Angulo, 2010. "Local Estimation of Spatial Autocorrelation Processes," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 93-116, Springer.
    6. Davidson, Russell & MacKinnon, James G, 1998. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(1), pages 1-26, January.
    7. Raymond J. G. M. Florax & Thomas Graaff, 2004. "The Performance of Diagnostic Tests for Spatial Dependence in Linear Regression Models: A Meta-Analysis of Simulation Studies," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 2, pages 29-65, Springer.
    8. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    9. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2007. "A Monte Carlo Study for Pure and Pretest Estimators of a Panel Data Model with Spatially Autocorrelated Disturbances," Annals of Economics and Statistics, GENES, issue 87-88, pages 11-38.
    10. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    11. Egger, Peter & Larch, Mario & Pfaffermayr, Michael & Walde, Janette, 2009. "Small sample properties of maximum likelihood versus generalized method of moments based tests for spatially autocorrelated errors," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 670-678, November.
    12. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    13. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    14. repec:adr:anecst:y:2007:i:87-88:p:02 is not listed on IDEAS
    15. Bernard Fingleton & Julie Gallo, 2010. "Endogeneity in a Spatial Context: Properties of Estimators," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 59-73, Springer.
    16. repec:asg:wpaper:1045 is not listed on IDEAS
    17. Lung-Fei Lee, 2004. "Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models," Econometrica, Econometric Society, vol. 72(6), pages 1899-1925, November.
    18. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    19. Lee, Lung-fei & Liu, Xiaodong, 2010. "Efficient Gmm Estimation Of High Order Spatial Autoregressive Models With Autoregressive Disturbances," Econometric Theory, Cambridge University Press, vol. 26(1), pages 187-230, February.
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    Cited by:

    1. Klein, Torsten L., 2014. "Communicating quantitative information: tables vs graphs," MPRA Paper 60514, University Library of Munich, Germany.

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    More about this item

    Keywords

    Spatial visualization; Monte Carlo simulation experiments; Spatial econometrics; Y1; C5;
    All these keywords.

    JEL classification:

    • Y1 - Miscellaneous Categories - - Data: Tables and Charts
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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