Estimating Trends in Historical Heights

John Komlos and Joo Han Kim

Articles by John Komlos from Department of Economics, University of Munich

Abstract: Develops a robust statistical procedure to analyze the trend in height if the available samples are truncated at the minimum height requirement.

Keywords: height; truncated samples (search for similar items in EconPapers)
JEL-codes: C10 C80 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (22)

Published in Historical Methods, 1990, 23, 116-120

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:ehb:komart:25

Access Statistics for this paper

More papers in Articles by John Komlos from Department of Economics, University of Munich Contact information at EDIRC.
Bibliographic data for series maintained by Utku Teksoez ( this e-mail address is bad, please contact ).