kdeAlgoObject: Fitted kdeAlgoObject

Description Value References See Also

Description

An object of class "kdeAlgo" that represents the estimated statistical indicators and the estimated standard errors. Objects of this class have methods for the generic functions print and plot.

Value

An object of class "kdeAlgo" is a list containing at least the following components.

Point_estimate

the estimated statistical indicators: Mean, Gini, Head-Count Ratio, Quantiles (10%, 25%, 50%, 75%, 90%), Poverty-Gap, Quintile-Share Ratio and if specified the selected custom indicators.

Standard_Error

if bootstrap.se = TRUE, the standard errors for the statistical indicator are estimated

Mestimates

kde object containing the corrected density estimate, as in dclass

resultDensity

estimated density for each iteration, as in dclass

resultX

true latent values X estimates, as in dclass

xclass

classified values; factor with ordered factor values, as in dclass

gridx

grid on which density is evaluated, as in dclass

classes

classes; Inf as last value is allowed, as in dclass

burnin

burn-in sample size, as in dclass

samples

sampling iteration size, as in dclass

Point_estimates.run

the estimated statistical indicators: Mean, Gini, Head-Count Ratio, Quantiles (10%, 25%, 50%, 75%, 90%), Poverty-Gap, Quintile-Share Ratio and if specified the selected custom indicators for each iteration run of the KDE-algorithm

oecd

the weights used for the estimation of the equivalised household income

weights

any kind of survey or design weights that will be used for the weighted estimation of the statistical indicators

upper

if the upper bound of the upper interval is Inf e.g. (15000,Inf), then Inf is replaced by 15000*upper

References

Walter, P., Weimer, K. (2018). Estimating Poverty and Inequality Indicators using Interval Censored Income Data from the German Microcensus. FU-Berlin School of Business & Economics, Discussion Paper.

Gro<c3><9f>, M., U. Rendtel, T. Schmid, S. Schmon, and N. Tzavidis (2017). Estimating the density of ethnic minorities and aged people in Berlin: Multivariate Kernel Density Estimation applied to sensitive georeferenced administrative data protected via measurement error. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180.

See Also

smicd, dclass


smicd documentation built on May 2, 2019, 4:07 p.m.