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Decomposition of (income) inequality by population sub groups. For a decomposition on a single variable the mean log deviation can be used (see Mookherjee Shorrocks (1982) <doi:10.2307/2232673>). For a decomposition on multiple variables a regression based technique can be used (see Fields (2003) <doi:10.1016/s0147-9121(03)22001-x>). Recentered influence function regression for marginal effects of the (income or wealth) distribution (see Firpo et al. (2009) <doi:10.3982/ECTA6822>). Some extensions to inequality functions to handle weights and/or missings.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | boot (≥ 1.3-20), Hmisc (≥ 4.0-3) |
| Published: | 2018-06-27 |
| DOI: | 10.32614/CRAN.package.dineq |
| Author: | René Schulenberg |
| Maintainer: | René Schulenberg <reneschulenberg at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | dineq results |
| Reference manual: | dineq.pdf |
| Package source: | dineq_0.1.0.tar.gz |
| Windows binaries: | r-devel: dineq_0.1.0.zip, r-release: dineq_0.1.0.zip, r-oldrel: dineq_0.1.0.zip |
| macOS binaries: | r-release (arm64): dineq_0.1.0.tgz, r-oldrel (arm64): dineq_0.1.0.tgz, r-release (x86_64): dineq_0.1.0.tgz, r-oldrel (x86_64): dineq_0.1.0.tgz |
| Reverse imports: | lorenz |
| Reverse suggests: | GiniDecompLY |
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