Simulating the Characteristics of Populations at the Small-Area Level: New Validation Techniques for a Spatial Microsimulation Model in Australia

Ann Harding, Shuangzhe Liu, Robert Tanton, Azizur Rahman

Research output: Book chapter/Published conference paperConference paper

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 publicationStatistics
Subtitle of host publicationA key to Innovation in a Data-Centric World
Place of PublicationAlexandira, USA
PublisherASA
Pages2022-2036
Number of pages15
ISBN (Electronic)9780979174797
Publication statusPublished - 2010
EventJoint Statistical Meetings by American Statistical Association (ASA) - Vancouver, British Columbia., Canada
Duration: 01 Jan 2010 → …

Conference

ConferenceJoint Statistical Meetings by American Statistical Association (ASA)
CountryCanada
Period01/01/10 → …

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    Harding, A., Liu, S., Tanton, R., & Rahman, A. (2010). Simulating the Characteristics of Populations at the Small-Area Level: New Validation Techniques for a Spatial Microsimulation Model in Australia. In Statistics: A key to Innovation in a Data-Centric World (pp. 2022-2036). ASA.