Comparing population distributions from bin-aggregated sample data: An application to historical height data from France
This paper develops a methodology to estimate the entire population distributions from bin-aggregated sample data. We do this 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 historical as well as contemporary 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 due to political sensitivity and/or confidentiality concerns.
|Date of creation:||20 Apr 2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: 34 93 592 1203
Fax: +34 93 542-1223
Web page: http://pareto.uab.cat
More information through EDIRC
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.:
- Menno Pradhan & David E. Sahn & Stephen D. Younger, 2001.
"Decomposing World Health Inequality,"
Tinbergen Institute Discussion Papers
01-091/2, Tinbergen Institute.
- Haddad, Lawrence & Ahmed, Akhter, 2003. "Chronic and Transitory Poverty: Evidence from Egypt, 1997-99," World Development, Elsevier, vol. 31(1), pages 71-85, January.
- 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.
When requesting a correction, please mention this item's handle: RePEc:aub:autbar:771.09. 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: (Xavier Vila)
If references are entirely missing, you can add them using this form.