On the efficiency of estimators in truncated height samples
Jan Jacobs (),
Tomek Katzur and
Additional contact information
Vincent Tassenaar: Groningen University
No 200408, CCSO Working Papers from University of Groningen, CCSO Centre for Economic Research
We test the efficiency of estimators proposed for truncated height samples with a new data set of over 23,000 height observations covering nearly all conscripts in Drenthe, a province of the Netherlands, over the period 1826-1860. We find that the `best' estimator, truncated ML, in its unrestricted form overestimates the mean and underestimates the variance. If the variance is set to the population variance, the mean is underestimated. We question the normality assumption that is typically made in this literature. Our `population' is skewed, which might explain the poor performance of the estimators
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:gro:rugccs:200408
Access Statistics for this paper
More papers in CCSO Working Papers from University of Groningen, CCSO Centre for Economic Research Contact information at EDIRC.
Series data maintained by Hanneke Tamling ().