Comparing population distributions from bin-aggregated sample data: An application to historical height data from France
AbstractWe develop a methodology to estimate underlying (continuous) population distributions from bin-aggregated sample data through the estimation of the parameters of mixtures of distributions that allow for maximal parametric flexibility. The statistical approach we develop enables comparisons of the full distributions of height data from potential army conscripts across France’s 88 departments for most of the nineteenth century. These comparisons are made by testing for differences-of-means stochastic dominance. Corrections for possible measurement errors are also devised by taking advantage of the richness of the data sets. Our methodology is of interest to researchers working on bin-aggregated or histogram-type data, something that is still widely done since much of the information that is publicly available is in that form, often due to restrictions based on confidentiality concerns.
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Economics & Human Biology.
Volume (Year): 9 (2011)
Issue (Month): 4 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/622964
Health and nutrition; Distributional analysis; France; Economic history; Height; Physical stature; Anthropometric history;
Other versions of this item:
- Jean-Yves Duclos & Josée Leblanc & David Sahn, 2009. "Comparing population distributions from bin-aggregated sample data: An application to historical height data from France," Working Papers 381, Barcelona Graduate School of Economics.
- Jean-Yves Duclos & Josée Leblanc & David Sahn, 2009. "Comparing Population Distributions from bin-Aggregated Sample Data: an Application to Historical Height Data from France," Cahiers de recherche 0910, CIRPEE.
- Jean-Yves Duclos & Josée Leblanc & David Sahn, 2009. "Comparing population distributions from bin-aggregated sample data: An application to historical height data from France," UFAE and IAE Working Papers 771.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913
- I10 - Health, Education, and Welfare - - Health - - - General
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
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.:
- David E. Sahn & David C. Stifel, 2002. "Robust Comparisons of Malnutrition in Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 716-735.
- Pradhan, Menno & Sahn, David E. & Younger, Stephen D., 2003.
"Decomposing world health inequality,"
Journal of Health Economics,
Elsevier, vol. 22(2), pages 271-293, March.
- Haddad, Lawrence & Ahmed, Akhter, 2003. "Chronic and Transitory Poverty: Evidence from Egypt, 1997-99," World Development, Elsevier, vol. 31(1), pages 71-85, January.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
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.