Local Directional Moran Scatter Plot - LDMS
Davide Fiaschi (),
Lisa Gianmoena and
Angela Parenti ()
Discussion Papers from Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy
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.
Keywords: Exploratory data analysis; polarization; random vector field; spatial dynamics; spatial dependence; distribution dynamics; US States. (search for similar items in EconPapers)
JEL-codes: C14 O51 R11 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-geo
Note: ISSN 2039-1854
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Journal Article: LOCAL DIRECTIONAL MORAN SCATTER PLOT - LDMS (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:pie:dsedps:2015/197
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