Multiple system estimation for the size of the Māori population in New Zealand
Publication date
2019
Editors
Advisors
Supervisors
DOI
Document Type
Part of book
Metadata
Show full item recordCollections
License
Abstract
We investigate the situation where two or more registers, or lists, of individuals are linked both for the purpose of population size estimation and to investigate the relationship between variables appearing on all or only some of the registers. There is usually no full picture of this relationship because there are individuals that are in only some of the lists, and also individuals that are in none of the lists. These two problems have been solved simultaneously in dual system estimation using the EM algorithm. We extend this approach to four registers (including the population census) to estimate the size of the indigenous Māori population in New Zealand, where the reporting of Māori is not the same in each register and where there is a further missing data problem, with individuals included in one or more registers who did not provide their ethnicity. We consider the implications for estimating the size of the Māori population from administrative data only.
Keywords
dual system estimation, linkage, missing data, register, coverage
Citation
Cruyff, M J L F, van der Heijden, P G M, Smith, P A, Bycroft, C & Graham, P 2019, Multiple system estimation for the size of the Māori population in New Zealand. in Proceedings of the 62nd ISI World Statistics Congress 2019 : Special Topic Session. vol. 3, pp. 315-323, ISI (International Statistical Institute) World Statistics Congres, Kuala Lumpur, Malaysia, 18/08/19., conference