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Local Directional Moran Scatter Plot - LDMS

Author

Listed:
  • Davide Fiaschi
  • Lisa Gianmoena
  • Angela Parenti

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, 2015. "Local Directional Moran Scatter Plot - LDMS," Discussion Papers 2015/197, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2015/197
    Note: ISSN 2039-1854
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    File URL: https://www.ec.unipi.it/documents/Ricerca/papers/2015-197.pdf
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    References listed on IDEAS

    as
    1. Quah, Danny, 1997. "Empirics for growth and distribution," LSE Research Online Documents on Economics 2138, London School of Economics and Political Science, LSE Library.
    2. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
    3. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
    4. Stefano Magrini & Margherita Gerolimetto, 2015. "Spatial Distribution Dynamics," ERSA conference papers ersa15p1172, European Regional Science Association.
    5. Danny Quah, 1997. "Empirics for Growth and Distribution," CEP Discussion Papers dp0324, Centre for Economic Performance, LSE.
    6. Sergio Rey & Alan Murray & Luc Anselin, 2011. "Visualizing regional income distribution dynamics," Letters in Spatial and Resource Sciences, Springer, vol. 4(1), pages 81-90, March.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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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.
    2. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    3. Fiaschi, Davide & Gianmoena, Lisa & Parenti, Angela, 2018. "Spatial club dynamics in European regions," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 115-130.

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    More about this item

    Keywords

    Exploratory data analysis; polarization; random vector field; spatial dynamics; spatial dependence; distribution dynamics; US States.;
    All these keywords.

    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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