Rendall, Admiraal, DeRose, DiGiulio, Handcock, and Racioppi (2008), SMA.pdf (342.34 kB)

Population constraints on pooled surveys in demographic hazard modeling

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journal contribution
posted on 10.08.2021, 01:33 by MS Rendall, Ryan AdmiraalRyan Admiraal, A DeRose, P DiGiulio, MS Handcock, F Racioppi
In non-experimental research, data on the same population process may be collected simultaneously by more than one instrument. For example, in the present application, two sample surveys and a population birth registration system all collect observations on first births by age and year, while the two surveys additionally collect information on women's education. To make maximum use of the three data sources, the survey data are pooled and the population data introduced as constraints in a logistic regression equation. Reductions in standard errors about the age and birth-cohort parameters of the regression equation in the order of three-quarters are obtained by introducing the population data as constraints. A halving of the standard errors about the education parameters is achieved by pooling observations from the larger survey dataset with those from the smaller survey. The percentage reduction in the standard errors through imposing population constraints is independent of the total survey sample size. © 2008 Springer-Verlag.

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Preferred citation

Rendall, M. S., Admiraal, R., DeRose, A., DiGiulio, P., Handcock, M. S. & Racioppi, F. (2008). Population constraints on pooled surveys in demographic hazard modeling. Statistical Methods and Applications, 17(4), 519-539. https://doi.org/10.1007/s10260-008-0106-8

Journal title

Statistical Methods and Applications

Volume

17

Issue

4

Publication date

01/10/2008

Pagination

519-539

Publisher

Springer Science and Business Media LLC

Publication status

Published

Online publication date

01/08/2008

ISSN

1618-2510

eISSN

1613-981X

Language

en

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