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D. Ballas, G. Clarke, E. Wiemers (2005)
Building a Dynamic Spatial Microsimulation Model for IrelandPopulation Space and Place, 11
A. Harding, R. Tanton, Q. Vu, Yogi Vidyattama (2009)
Improving Work Incentives and Incomes for Parents: The National and Geographic Impact of Liberalising the Family Tax Benefit Income TestWiley-Blackwell: Economic Record
D. Ballas, G. Clarke, I. Turton (2003)
A Spatial Microsimulation Model for Social Policy Evaluation
A. Sen (1976)
Poverty: An Ordinal Approach to MeasurementEconometrica, 44
M. Ghosh, J. Rao (1994)
Small Area Estimation: An AppraisalStatistical Science, 9
Riyana Miranti, Justine McNamara, R. Tanton, A. Harding (2011)
Poverty at the Local Level: National and Small Area Poverty Estimates by Family Type for Australia in 2006Applied Spatial Analysis and Policy, 4
M. Brewer, J. Browne, R. Joyce, H. Sutherland (2009)
Micro-simulating child poverty in 2010 and 2020
T. Fujii (2004)
Commune-Level Estimation of Poverty Measures and its Application in CambodiaSustainability & Economics eJournal
Harry Greenwell, Ann Harding, Philip Green (2002)
Worlds Apart: postcodes with the highest and lowest poverty rates in today's Australia
J. Foster, J. Greer, E. Thorbecke (1984)
A Class of Decomposable Poverty MeasuresEconometrica, 52
B. Bradbury (1996)
Are the Low Income Self-employed Poor?
R. Tanton, Yogi Vidyattama, Justine McNamara, Q. Vu, A. Harding (2009)
Old, Single and Poor: Using Microsimulation and Microdata to Analyse Poverty and the Impact of Policy Change among Older Australians, 28
M. Gabriel, K. Jacobs, Kathy Arthurson, T. Burke, J. Yates (2005)
Conceptualising and measuring the housing affordability problem
David Voas, P. Williamson (2000)
An evaluation of the combinatorial optimisation approach to the creation of synthetic microdataInternational Journal of Population Geography, 6
Brigitte Buhmann, L. Rainwater, Guenther Schmaus, T. Smeeding (1988)
EQUIVALENCE SCALES, WELL‐BEING, INEQUALITY, AND POVERTY: SENSITIVITY ESTIMATES ACROSS TEN COUNTRIES USING THE LUXEMBOURG INCOME STUDY (LIS) DATABASEReview of Income and Wealth, 34
C. Elbers, J. Lanjouw, P. Lanjouw (2003)
Micro-Level Estimation of Poverty and InequalityEconometrica, 71
G. Marks (2007)
Income Poverty, Subjective Poverty and Financial StressPSN: Poverty (Social) (Topic)
B. Phillips, S. Chin, A. Harding (2007)
Housing Stress Today: Estimates for Statistical Local Areas in 2005
P. Siminski, P. Saunders, S. Waseem, B. Bradbury (2003)
Assessing the quality and inter-temporal comparability of ABS household income distribution survey data
S. Chin, A. Harding (2007)
Model 22 SpatialMSM — NATSEM’s Small Area Household Model for Australia, 16
P. Saunders, B. Bradbury (2006)
Monitoring Trends in Poverty and Income Distribution: Data, Methodology and MeasurementWiley-Blackwell: Economic Record
D. Pfeffermann (2002)
Small Area Estimation‐New Developments and DirectionsInternational Statistical Review, 70
A. Harding, Q. Vu, R. Tanton, Yogi Vidyattama (2008)
Improving work incentives for mothers: the national and geographic impact of liberalising the Family Tax Benefit income test
R. Scutella, David Johnson (2005)
Understanding and Improving Data Quality Relating to Low-Income Households
B. Anderson (2009)
Creating small area income deprivation estimates for northern Ireland: spatial microsimulation modelling
N. Kakwani (1980)
On a Class of Poverty MeasuresEconometrica, 48
K. Bremner, G. Beer, R. Lloyd, S. Lambert (2002)
Creating a Basefile for Stinmod
J. Rodgers, J. Rodgers (2000)
Poverty Intensity in AustraliaAustralian Economic Review, 33
S. Chin, A. Harding, R. Tanton (2006)
A Spatial Portrait of Disadvantage: Income Poverty by Statistical Area in 2001
R. Tanton, P. Williamson, A. Harding (2007)
Comparing Two Methods of Reweighting a Survey File to Small Area Data - Generalised Regression and Combinatorial Optimisation
P. Saunders (2008)
Poverty in Australia Sensitivity Analysis and Recent Trends
D. Ballas, G. Clarke, D. Dorling, D. Rossiter (2007)
Using SimBritain to Model the Geographical Impact of National Government PoliciesGeographical Analysis, 39
S. Hynes, Karyn Morrissey, C. O’Donoghue, G. Clarke (2009)
A spatial micro-simulation analysis of methane emissions from Irish agricultureEcological Complexity, 6
B. Hunter (2004)
Three nations, not one: Indigenous and other Australian poverty
This paper uses spatial microsimulation to calculate small area poverty severity and headcount poverty in Australia using the Foster‐Greer‐Thorbeck method. The estimates of poverty severity across Australia, and for certain subgroups of the population, are then compared with headcount poverty rates. Areas of difference are highlighted, and the reasons for some of these differences are investigated further. Because the spatial microsimulation gives unit record data on incomes in each small area, we can compare the microsimulated income distributions for the small areas to see what drives the difference between headcount poverty and poverty severity.
Population, Space and Place – Wiley
Published: May 1, 2011
Keywords: ; ;
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