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How Reliable Are the Geographical Spatial Weights Matrices?

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  • Davide Fiaschi
  • Angela Parenti

Abstract

This paper shows how it is possible to estimate the interconnections between regions by a connectedness matrix recently proposed by Diebold and Yilmaz (2014), and discusses how the connectedness matrix is strictly related to the spatial weights matrix used in spatial econometrics. An empirical application using growth rate volatility of per capita GDP of 199 European NUTS2 regions (EU15) over the period 1981-2008 illustrates how our estimated connectedness matrix is not compatible with the most popular geographical weights matrices used in literature.

Suggested Citation

  • Davide Fiaschi & Angela Parenti, 2015. "How Reliable Are the Geographical Spatial Weights Matrices?," Discussion Papers 2015/198, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2015/198
    Note: ISSN 2039-1854
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    File URL: https://www.ec.unipi.it/documents/Ricerca/papers/2015-198.pdf
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    References listed on IDEAS

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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    3. BAUMONT, Catherine & ERTUR, Cem & LE GALLO, Julie, 2001. "A Spatial Econometric Analysis of Geographic Spillovers and Growth for European Regions, 1980-1995," LATEC - Document de travail - Economie (1991-2003) 2001-04, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    4. Davide Fiaschi & Andrea Mario Lavezzi, 2011. "Growth Volatility and the Structure of the Economy," Discussion Papers 2011/117, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    5. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    6. Raymond J. G. M. Florax & Serge Rey, 1995. "The Impacts of Misspecified Spatial Interaction in Linear Regression Models," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 5, pages 111-135, Springer.
    7. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    8. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    9. Bernard Fingleton (ed.), 2003. "European Regional Growth," Advances in Spatial Science, Springer, number 978-3-662-07136-6, Fall.
    10. Davide fiaschi & Angela Parenti, 2013. "An Estimate of the Degree of Interconnectedness between European Regions: A Bayesian Model Averaging Approach," Discussion Papers 2013/171, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    11. Manfred M. Fischer & Peter Nijkamp (ed.), 2014. "Handbook of Regional Science," Springer Books, Springer, edition 127, number 978-3-642-23430-9, December.
    12. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
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    Cited by:

    1. Vincent, Rose Camille & Osei Kwadwo, Victor, 2022. "Spatial interdependence and spillovers of fiscal grants in Benin: Static and dynamic diffusions," World Development, Elsevier, vol. 158(C).

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    More about this item

    Keywords

    First-order Contiguity; Distance-based Matrix; Connectedness Matrix; European Regions; Network.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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