Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored. We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results. We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.

Author | Samuel V. Scarpino, Paul von Hippel, and Igor Holas |

Date of publication | 2016-12-17 01:36:01 |

Maintainer | Samuel V. Scarpino <scarpino@utexas.edu> |

License | GPL (>= 3.0) |

Version | 1.0.1 |

**binequality-package:** Methods for Analyzing Binned Income Data

**county_bins:** A data set containing binned income for US counties

**fitFunc:** A function to fit a parametric distribution to binned data.

**getMids:** A function to calculate the bin midpoints.

**getQuantilesParams:** A function to extract the quantiles and parameters

**giniCoef:** Calculates the Gini coefficient from quantiles

**LRT:** A function to perform likelihood ratio tests

**makeFitComb:** A function to transform a list into a dataframe

**makeInt:** A function to create a survival object from bin counts.

**makeIntWeight:** A function to create a survival object from bin counts and...

**makeWeightsAIC:** A function to calculate AIC weights

**mAvg:** A simple function to perfom model averaging using...

**midStats:** A function to calculate statistics using bin midpoints

**MLD:** A function to calculate the MLD

**modelAvg:** A function to calculate model averages

**paramFilt:** A function to filter models based on estimated parameters

**run_GB_family:** A function to fit a parametric distributions to binned data.

**school_district_bins:** A data set containing the school district data.

**SDL:** A function to calculate the SDL

**state_bins:** A data set containing the binned state data.

**theilInd:** A function to calculate the Theil

binequality

binequality/inst

binequality/inst/CITATION

binequality/NAMESPACE

binequality/data

binequality/data/school_district_bins.rda

binequality/data/county_bins.rda

binequality/data/state_bins.rda

binequality/data/datalist

binequality/R

binequality/R/makeIntWeight.R
binequality/R/fitFunc.R
binequality/R/MLD.R
binequality/R/modelAvg.R
binequality/R/makeWeightsAIC.R
binequality/R/SDL.R
binequality/R/giniCoef.R
binequality/R/mAvg.R
binequality/R/makeInt.R
binequality/R/midStats.R
binequality/R/makeFitComb.R
binequality/R/paramFilt.R
binequality/R/getMids.R
binequality/R/LRT.R
binequality/R/theilInd.R
binequality/R/getQuantilesParams.R
binequality/R/run_GB_family.R
binequality/MD5

binequality/DESCRIPTION

binequality/man

binequality/man/makeIntWeight.Rd
binequality/man/LRT.Rd
binequality/man/SDL.Rd
binequality/man/midStats.Rd
binequality/man/modelAvg.Rd
binequality/man/school_district_bins.Rd
binequality/man/MLD.Rd
binequality/man/makeInt.Rd
binequality/man/fitFunc.Rd
binequality/man/county_bins.Rd
binequality/man/paramFilt.Rd
binequality/man/giniCoef.Rd
binequality/man/state_bins.Rd
binequality/man/theilInd.Rd
binequality/man/makeFitComb.Rd
binequality/man/binequality-package.Rd
binequality/man/getQuantilesParams.Rd
binequality/man/mAvg.Rd
binequality/man/run_GB_family.Rd
binequality/man/makeWeightsAIC.Rd
binequality/man/getMids.Rd
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