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2021•RePEc: Research Papers in EconomicsRequires access

XTMORAN: Stata module to calculate Moran's I and Moran's Ii statistics for panel data and displaying a Moran scatterplot

Chen Zihou, Liu Xiangge, Jiahui Xu

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Abstract

xtmoran computes the global spatial autocorrelation statistic: Moran's I and local spatial autocorrelation statistics: Moran's Ii. xtmoran computes and displays in tabular form the statistic itself, the expected value of the statistic under the null hypothesis of global spatial independence, the standard deviation of the statistic, the z-value, and the corresponding 2-tail p-value.xtmoran also displays a Moran scatterplot.

About this research paper

What this paper is about

xtmoran computes the global spatial autocorrelation statistic: Moran's I and local spatial autocorrelation statistics: Moran's Ii. xtmoran computes and displays in tabular form the statistic itself, the expected value of the statistic under the null hypothesis of global spatial independence, the standard deviation of the statistic, the z-value, and the corresponding 2-tail p-value.xtmoran also displays a Moran scatterplot.

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Available abstract

xtmoran computes the global spatial autocorrelation statistic: Moran's I and local spatial autocorrelation statistics: Moran's Ii. xtmoran computes and displays in tabular form the statistic itself, the expected value of the statistic under the null hypothesis of global spatial independence, the standard deviation of the statistic, the z-value, and the corresponding 2-tail p-value.xtmoran also displays a Moran scatterplot.

Key concepts: Statistic, Spatial analysis, Statistics, Autocorrelation, Mathematics, Null hypothesis, Independence (probability theory)

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XTMORAN: Stata module to calculate Moran's I and Moran's Ii statistics for panel data and displaying a Moran scatterplot — Research Paper | ScholarLens