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Iterative Kernel Density Estimation Applied to Grouped Data: Estimating Poverty and Inequality Indicators from the German Microcensus Cover

Iterative Kernel Density Estimation Applied to Grouped Data: Estimating Poverty and Inequality Indicators from the German Microcensus

Open Access
|Jun 2022

Authors

Paul Walter

Paul.Walter@fu-berlin.de

Freie Universitat Berlin, Berlin, Germany

Marcus Groß

Marcus.Gross@inwt-statistics.de

Freie Universitat Berlin, Berlin, Germany

Timo Schmid

Timo.Schmid@uni-bamberg.de

Otto-Friedrich-Universitat Bamberg, Bamberg, Germany

Katja Weimer

K.Weimer@fu-berlin.de

Freie Universitat Berlin, Berlin, Germany
Language: English
Page range: 599 - 635
Submitted on: Jun 1, 2020
|
Accepted on: Feb 1, 2022
|
Published on: Jun 14, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Paul Walter, Marcus Groß, Timo Schmid, Katja Weimer, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.