TY - JOUR
T1 - Small area housing stress estimation in Australia: Calculating confidence intervals for a spatial microsimulation model
AU - Rahman, Azizur
N1 - Publisher Copyright:
© 2017 Taylor & Francis Group, LLC.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This study provides small area housing stress estimates by tenure type in Australia with a way of calculating confidence intervals for a spatial microsimulation model. Findings reveal that prevalence of housing stress for private-renter, buyer, public-renter and owner households are 59.6%, 33.2%, 6.9%, and 0.3%, respectively. Almost two-thirds of these households are located in statistical local areas (SLAs) in eight capital cities, and a large number of them are in Sydney and Melbourne. Estimates for private renters and buyers are significantly high in some capitals and southeast coastal regions. About 95.7% of SLAs show accurate estimates with narrow confidence intervals.
AB - This study provides small area housing stress estimates by tenure type in Australia with a way of calculating confidence intervals for a spatial microsimulation model. Findings reveal that prevalence of housing stress for private-renter, buyer, public-renter and owner households are 59.6%, 33.2%, 6.9%, and 0.3%, respectively. Almost two-thirds of these households are located in statistical local areas (SLAs) in eight capital cities, and a large number of them are in Sydney and Melbourne. Estimates for private renters and buyers are significantly high in some capitals and southeast coastal regions. About 95.7% of SLAs show accurate estimates with narrow confidence intervals.
KW - Confidence intervals
KW - Housing stress
KW - Microsimulation modelling
KW - Small area estimation
KW - Spatial microsimulation
UR - http://www.scopus.com/inward/record.url?scp=85038864096&partnerID=8YFLogxK
U2 - 10.1080/03610918.2016.1241406
DO - 10.1080/03610918.2016.1241406
M3 - Article
AN - SCOPUS:85038864096
SN - 0361-0918
VL - 46
SP - 7466
EP - 7484
JO - Communications in Statistics: Simulation and Computation
JF - Communications in Statistics: Simulation and Computation
IS - 9
ER -