Simulating the characteristics of populations at the small area level: new validation techniques for a spatial microsimulation model in Australia

Azizur Rahman, Ann Harding, Robert Tanton, Shuangzhe Liu

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Downloads (Pure)

Abstract

These days spatial microsimulation modelling plays a vital role in policy analysis for small areas. Most developed countries are utilising these tools in more effective ways to make knowledgeable decisions on major policy issues at local levels. However building an appropriate model is very difficult for many reasons. For example, the creation of reliable spatial microdata is still challenging. In addition there has not been much research on testing statistical significance of the model outputs yet, and deriving estimates of how reliable these outputs may be. This paper deals with the spatial microsimulation model building procedure for estimating small area housing stress in Australia. It also establishes new ways to test the statistical significance of the model estimates.
Original languageEnglish
Title of host publication2010 JSM Proceedings
Place of PublicationAlexandria, USA
PublisherAmerican Statistical Association
Pages20222036
Number of pages15
Publication statusPublished - 2010
EventJoint Statistical Meetings: JMS - Vancouver, Vancouver, Canada
Duration: 31 Jul 201005 Aug 2010
https://ww2.amstat.org/meetings/jsm/2010/index.cfm?fuseaction=proceedings

Conference

ConferenceJoint Statistical Meetings
CountryCanada
CityVancouver
Period31/07/1005/08/10
Internet address

Fingerprint Dive into the research topics of 'Simulating the characteristics of populations at the small area level: new validation techniques for a spatial microsimulation model in Australia'. Together they form a unique fingerprint.

Cite this