Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data

Author:

Baffour Bernard1ORCID,Chandra Hukum2,Martinez Arturo3

Affiliation:

1. School of DemographyThe Australian National University Canberra 2601 Australia

2. Indian Agricultural Statistics Research Institute New Delhi 110012 India

3. Development Economics and Indicators DivisionAsian Development Bank Manila 1550 Philippines

Funder

Department of Social Services, Australian Government

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference74 articles.

1. A new look at the statistical model identification

2. District‐level estimates of institutional births in Ghana: application of small area estimation technique using census and DHS data;Amoako Johnson F.;J. Off. Stat.,2010

3. Australian Bureau of Statistics (ABS). (2011).Australian Geographical Standard Classification. Cat no 1216.0. Canberra Australian Bureau of Statistics. Available from:http://www.abs.gov.au/ausstats/abs@.nsf/mf/1216.0Accessed on December 12th2017.

4. Australian Bureau of Statistics (ABS). (2010).Research Paper: small area estimation with simulated samples from the population census (Methodology Advisory Committee). Cat. No. 1352.0.55.106. Canberra Australian Bureau of Statistics. Available from:http://www.abs.gov.au/ausstats/abs@.nsf/mf/1352.0.55.106. Accessed on December 12th2017.

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