Measurement of Regional Income Stratification in Germany by decomposition of the Gini Index: Pre and Post Government Household Income Inequality After the Fall of the Berlin WallJoachim R FrickJan GoebelGert Wagner
To begin, we investigate the partial effects of the Gini coefficient (G) derived from the colocation maps and the percentage of people staying put (SP) on the left and right side of Fig.4, respectively. Moreover, a high standardized Gini coefficient translates to meeting behavior that is mor...
Minkoff and Lyons (2019) use the Herfindahl–Hirschmann Index, which is often used for market competition and measures how much a market is dominated by one group. Furthermore, their findings also suggest that the “neighborhood Gini coefficient does not affect perceptions of income inequality” (...
In GEE, the feature importance is calculated using the Gini index as a measure of optimal split selection [53]. This information is gathered by measuring the increase in the prediction error of the RF, referred to as the out-of-bag (OOB) error, and the decrease in the Gini index, ...
Minkoff and Lyons (2019) use the Herfindahl–Hirschmann Index, which is often used for market competition and measures how much a market is dominated by one group. Furthermore, their findings also suggest that the “neighborhood Gini coefficient does not affect perceptions of income inequality” (...