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Bayes-Verfahren zur Schätzung von Einkommensverteilungen

Year:    1976

Author:    Bamberg, Günter

Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 96 (1976), Iss. 1 : pp. 1–13

Abstract

If the income scale is divided into k income ranges, the histogram form of the income distribution is completely determined by the k corresponding proportions. In section 2 Bayes estimators for these proportions are given for several loss functions and a special prior (Dirichlet-) distribution. The main purpose of this paper is the derivation of the linear Bayes estimator of section 3 without specifying a complete prior distribution. This linear Bayes estimator only depends on the first two moments of the prior distribution. It is shown that this estimator can be represented by a weighted average of the prior expected proportion and the maximum likelihood estimator.

Journal Article Details

Publisher Name:    Global Science Press

Language:    Multiple languages

DOI:    https://doi.org/10.3790/schm.96.1.1

Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 96 (1976), Iss. 1 : pp. 1–13

Published online:    1976-01

AMS Subject Headings:    Duncker & Humblot

Copyright:    COPYRIGHT: © Global Science Press

Pages:    13

Author Details

Bamberg, Günter