Mon Aug 11 14:05:51 EDT 2003
ABSTRACTS IN ECONOMIC HISTORY
(c) 2003 EH.Net
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Name: John Komlos
Email: jk at econhist.de
Institution: Department of Economics, University of Munich, Germany
Co-author: none
Title: How to (and How Not to) Analyze Deficient Height Samples
Internet Address of abstracted work:
http://www.vwl.uni-muenchen.de/ls_komlos/howto.pdf
By mail:
Ludwigstraþe 33/IV D-80539 Munich, Germany
Language: English
Abstract:
There are a large number of challenges associated with the analysis
of height data from military records on account of the enforcement of
minimum height requirements. This essay provides an overview of two
decades of experience with working such truncated height
distributions and concludes that truncated OLS or truncated maximum
likelihood regressions are the appropriate methods to apply to such
samples.
Bibliography: Komlos, John. "How to (and How Not to) Analyze
Deficient Height Samples." University of Munich, unpublished
manuscript, 2003.
Subject: U
Geographical Area: 0
Country/Region:
Time Period: 0
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