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Local Directional Moran Scatter Plot - Ldms

Author

Listed:
  • Davide FIASCHI

    () (Dipartimento di Economia e Management, Via Ridolfi 10, 56124, Pisa, Italy)

  • Lisa GIANMOENA

    () (IMT Institute for Advanced Studies Lucca)

  • Angela PARENTI

    () (IMT Institute for Advanced Studies Lucca)

Abstract

This paper propose a novel methodology to estimate the distribution dynamics of income in presence of spatial dependence by representing spatial dynamics as a random vector field in Moran space. Inference on the local spatial dynamics is discussed, including a test on the presence of local spatial dependence. The methodology also allows to compute a forecast of future income distribution which includes also the effects of spatial dependence. An application to US States is used to illustrate the effective capacities of the methodology.

Suggested Citation

  • Davide FIASCHI & Lisa GIANMOENA & Angela PARENTI, 2014. "Local Directional Moran Scatter Plot - Ldms," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 97-112.
  • Handle: RePEc:tou:journl:v:40:y:2014:p:97-112
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    File URL: http://region-developpement.univ-tln.fr/fr/pdf/R40/7_Fiaschi_Gianmoena_Parenti.pdf
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    References listed on IDEAS

    as
    1. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
    2. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
    3. Stefano Magrini & Margherita Gerolimetto, 2015. "Spatial Distribution Dynamics," ERSA conference papers ersa15p1172, European Regional Science Association.
    4. Quah, Danny T, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
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    Cited by:

    1. Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2015. "Spatial Clubs in European Regions," Discussion Papers 2015/196, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.

    More about this item

    Keywords

    EXPLORATORY DATA ANALYSIS; POLARIZATION; RANDOM VECTOR FIELD; DISTRIBUTION DYNAMICS; SPATIAL DYNAMICS; SPATIAL DEPENDENCE; US STATES;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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