TY - JOUR
T1 - Detecting Temporal Anomalies with Pseudo Age Groups
T2 - Homeownership in Canada, 1981 to 2016
AU - Yuan, Yue
AU - Gu, Jiaxin
AU - Guo, Xin
AU - Zhu, Yushu
AU - Fu, Qiang
N1 - Funding Information:
Jiaxin Gu and Yue Yuan contributed equally to this work and share first authorship. The authors gratefully acknowledge financial support from an Insight Grant from the Social Sciences and Humanities Research Council of Canada (#435-2021-0720, PI: Qiang Fu). The work described in this paper is also supported partially by the Research Grants Council, University Grants Committee of Hong Kong (Project No. PolyU 15304917). Please direct all correspondence to Qiang Fu, Department of Sociology, The University of British Columbia, Vancouver, BC, V6T 1Z1, Canada (email: [email protected]).
Funding Information:
Jiaxin Gu and Yue Yuan contributed equally to this work and share first authorship. The authors gratefully acknowledge financial support from an Insight Grant from the Social Sciences and Humanities Research Council of Canada (#435‐2021‐0720, PI: Qiang Fu). The work described in this paper is also supported partially by the Research Grants Council, University Grants Committee of Hong Kong (Project No. PolyU 15304917). Please direct all correspondence to Qiang Fu, Department of Sociology, The University of British Columbia, Vancouver, BC, V6T 1Z1, Canada (email: [email protected] ).
Publisher Copyright:
© 2021 John Wiley & Sons, Ltd.
PY - 2022/1
Y1 - 2022/1
N2 - Methodological advances in demographic research, especially age-period-cohort (APC) analysis, primarily focus on developing new models yet often fail to consider practical concerns in empirical analysis. We propose a mixed approach that integrates multiple data imputation and structural change analysis in time series so that scholars can (i) construct pseudo age groups based on more coarsely grouped age data and (ii) identify temporal anomalies. This approach is illustrated using multiple waves of Canadian Population Census data (1981–2016). We construct pseudo age groups based on more coarse age information available in the Census data and identify a local anomaly in the temporal trajectory of homeownership in Canada's less populous provinces and territories. These findings are assessed and validated in comparison with results from more populous Canadian provinces. This research broadens the methodological repertoire for demographers, geographers, and social scientists in general and extends the literature on homeownership in an understudied area.
AB - Methodological advances in demographic research, especially age-period-cohort (APC) analysis, primarily focus on developing new models yet often fail to consider practical concerns in empirical analysis. We propose a mixed approach that integrates multiple data imputation and structural change analysis in time series so that scholars can (i) construct pseudo age groups based on more coarsely grouped age data and (ii) identify temporal anomalies. This approach is illustrated using multiple waves of Canadian Population Census data (1981–2016). We construct pseudo age groups based on more coarse age information available in the Census data and identify a local anomaly in the temporal trajectory of homeownership in Canada's less populous provinces and territories. These findings are assessed and validated in comparison with results from more populous Canadian provinces. This research broadens the methodological repertoire for demographers, geographers, and social scientists in general and extends the literature on homeownership in an understudied area.
KW - age-period-cohort analysis
KW - homeownership
KW - multiple imputation
KW - pseudo data
KW - structural change analysis
UR - https://www.scopus.com/pages/publications/85118481963
U2 - 10.1002/psp.2532
DO - 10.1002/psp.2532
M3 - Journal article
AN - SCOPUS:85118481963
SN - 1544-8444
VL - 28
SP - 1
EP - 18
JO - Population, Space and Place
JF - Population, Space and Place
IS - 1
M1 - e2532
ER -