makeInt

a (non-empty) numeric matrix containing the bin end points, there must be as many rows as length(hb) and the lower bin should be on the left.

ints

a (non-empty) numeric vector of bin heights.

an optional function to transform the bins.

trans

This function creates a survival object from bin counts, these data cannot be right censored. There is a separate function for the right censored bins.

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.

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

Description

Usage

Arguments

Value

Details

See Also

Examples