TY - UNPB
T1 - On the efficiency of estimators in truncated height samples
AU - Jacobs, Jan
AU - Katzur, Tomek
AU - Tassenaar, Vincent
N1 - Relation: http://www.rug.nl/
date_submitted:2004
Rights: Rijksuniversiteit Groningen
PY - 2004
Y1 - 2004
N2 - 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
AB - 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
M3 - Working paper
BT - On the efficiency of estimators in truncated height samples
PB - s.n.
ER -