feat(notes): Add simple measure documentation
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03-documentation/measures.md
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# Measures
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TODO:: separation of shares, inequality indices and ratios
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**absolute** shows magnitude of difference between subgroups of pop -> focus on absolute welfare
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**relative** shows proportional difference between subgroups of pop -> focus on welfare in relation to others
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## Common ones
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### Vertical
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Gini coeff, Theil, entropy measure, atkinson indexes
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### Horizontal
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mean differences between groups; ratios between better off/worse off
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GGini; GTheil; GCOV
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## All indicators
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### Absolute
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* quantiles (division by 5) / deciles (division by 10) / centiles (division by 100)
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* Absolute Gini index
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* ?
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* Standard deviation
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* deviations from norm in *absolute* terms
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### Relative
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* ratios of quantiles to each other (division of various quantiles)
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* Gini coefficient:
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* based Lorenz curve - population percentage versus accumulated fractions of wealth
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* is area between lorenz curve and perfect equality
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* needs: individual/household income/wealth; pop size
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* Theil index:
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* how much income distribution (person x receives y from total income) is away from perfect uniform distribution
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* log -based
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* can be disaggregated into subgroups
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* Theil L > weighting factors are population groups; Theil T > weighting factors are fraction of appropriated income
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* Atkinson measures:
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* measures cumulative deviation of each income in relation to average income value in distribution
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* Palma ratio:
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* dividing share of income/wealth held by top 10% by bottom 40%, thus high = bad
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* s80s20, s40s20 ratios:
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* ?
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* Concentration index:
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* divide whole pop by 100 to find percentiles
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* then you know how many ppl are in each group and add their total income
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* Foster-Greer-Thorbecke-class distribution (@Sotomayor2021)
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## Horizontal
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