On the Relation between Logarithmic Series Model and Other Superpopulation Models Useful for Microdata Disclosure Risk Assessment

Nobuaki Hoshino and Akimichi Takemura
Additional contact information
Nobuaki Hoshino: Graduate School of Economics, University of Tokyo.
Akimichi Takemura: Faculty of Economics, University of Tokyo.

No 98-F-7, CIRJE F-Series from CIRJE, Faculty of Economics, University of Tokyo

Abstract: Fisher's logarithmic series model (Fisher et al. (1943)) is a classical model in statistical ecology. In this paper we show that this model is a key model linking three models discussed in Takemura (1997), i.e., Poisson-gamma model (Bethlehem et al. (1990)), Dirichlet-multinomial model (Takemura (1997)), and Ewens model (Ewens (1990)). This connection opens up the possibility of applying existing techniques of statistical ecology to the problem of microdata disclosure risk assessment.

Pages: 9 pages
Date: 1998-03
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.cirje.e.u-tokyo.ac.jp/research/dp/98/f7/contents.htm (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tky:fseres:98f07

Access Statistics for this paper

More papers in CIRJE F-Series from CIRJE, Faculty of Economics, University of Tokyo Contact information at EDIRC.
Bibliographic data for series maintained by CIRJE administrative office ().