Advanced Search
MyIDEAS: Login to save this paper or follow this series

On the efficiency of estimators in truncated height samples

Contents:

Author Info

  • Jacobs, Jan
  • Katzur, Tomek
  • Tassenaar, Vincent

    (Groningen University)

Abstract

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

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://irs.ub.rug.nl/ppn/268627126
Download Restriction: no

Bibliographic Info

Paper provided by University of Groningen, CCSO Centre for Economic Research in its series CCSO Working Papers with number 200408.

as in new window
Length:
Date of creation: 2004
Date of revision:
Handle: RePEc:dgr:rugccs:200408

Contact details of provider:
Postal: PO Box 800, 9700 AV Groningen
Phone: +31 50 363 7185
Fax: +31 50 363 3720
Email:
Web page: http://ccso.eldoc.ub.rug.nl/
More information through EDIRC

Related research

Keywords:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. A'Hearn, Brian & Komlos, John, 2003. "Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ," Discussion Papers in Economics 51, University of Munich, Department of Economics.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Yoko Akachi & David Canning, 2007. "The Height of Women in Sub-Saharan Africa: the Role of Health, Nutrition, and Income in Childhood," PGDA Working Papers 2207, Program on the Global Demography of Aging.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:dgr:rugccs:200408. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joke Bulthuis).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.