TY - JOUR
T1 - Inequality in education
T2 - a comparison of Australian indigenous and nonindigenous populations
AU - Gunawan, David
AU - Griffiths, William
AU - Chotikapanich, Duangkamon
N1 - Funding Information:
This research was supported by a RevITAlising (RITA) research grant from the University of Wollongong.
Publisher Copyright:
© 2022 Walter de Gruyter GmbH, Berlin/Boston.
PY - 2022
Y1 - 2022
N2 - Data from the Household Income and Labour Dynamics in Australia Survey is used to estimate distributions for the level of educational attainment for Australian indigenous and nonindigenous populations for the years 2001, 2006, 2014 and 2017. Bayesian inference is used to analyse how these ordinal categorical distributions have changed over time and to compare indigenous and nonindigenous distributions. Both the level of educational attainment and inequality in educational attainment are considered. To compare changes in levels over time, as well as inequality between the two populations, first order stochastic dominance and an index of educational poverty are used. To examine changes in inequality over time, two inequality indices and generalised Lorenz dominance are considered. Results are presented in terms of posterior densities for the indices and posterior probabilities for dominance for the dominance comparisons. We find some evidence of improvement over time, especially in the lower parts of the indigenous distribution and that inequality has significantly increased from 2001 to 2017.
AB - Data from the Household Income and Labour Dynamics in Australia Survey is used to estimate distributions for the level of educational attainment for Australian indigenous and nonindigenous populations for the years 2001, 2006, 2014 and 2017. Bayesian inference is used to analyse how these ordinal categorical distributions have changed over time and to compare indigenous and nonindigenous distributions. Both the level of educational attainment and inequality in educational attainment are considered. To compare changes in levels over time, as well as inequality between the two populations, first order stochastic dominance and an index of educational poverty are used. To examine changes in inequality over time, two inequality indices and generalised Lorenz dominance are considered. Results are presented in terms of posterior densities for the indices and posterior probabilities for dominance for the dominance comparisons. We find some evidence of improvement over time, especially in the lower parts of the indigenous distribution and that inequality has significantly increased from 2001 to 2017.
KW - dominance probabilities
KW - inequality measures
KW - ordinal categorical data
UR - http://www.scopus.com/inward/record.url?scp=85132504034&partnerID=8YFLogxK
U2 - 10.1515/spp-2021-0026
DO - 10.1515/spp-2021-0026
M3 - Article
AN - SCOPUS:85132504034
SN - 2194-6299
VL - 13
SP - 57
EP - 72
JO - Statistics, Politics and Policy
JF - Statistics, Politics and Policy
IS - 1
ER -