LOCAL DIRECTIONAL MORAN SCATTER PLOT - LDMS

Davide Fiaschi, Lisa Gianmoena () and Angela Parenti ()
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Lisa Gianmoena: IMT Institute for Advanced Studies Lucca

Region et Developpement, 2014, vol. 40, 97-112

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.

Keywords: EXPLORATORY DATA ANALYSIS; POLARIZATION; RANDOM VECTOR FIELD; DISTRIBUTION DYNAMICS; SPATIAL DYNAMICS; SPATIAL DEPENDENCE; US STATES (search for similar items in EconPapers)
JEL-codes: C14 O51 R11 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Local Directional Moran Scatter Plot - LDMS (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:tou:journl:v:40:y:2014:p:97-112

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