Do Higher Home Prices Hurt or Help Child Vulnerability?
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This project examined the hypothesis that provinces experiencing greater housing unaffordability will associate with higher rates of child vulnerability, after controlling for other provincial characteristics.
Jump to Research OutputsCan housing affordability impact future generations?
A multi-level study of home prices, earnings and Early Development Instrument (EDI) data across Canadian regions and provinces. This project examined the hypothesis that provinces experiencing greater housing unaffordability will associate with higher rates of child vulnerability, after controlling for other provincial characteristics. Housing unaffordability will be conceptualized as the relationship between average provincial home prices relative to local earnings.
Project Lead(s):
Home Organization:
University of British Columbia
Other Participants:
Magdalena Janus, Eric Duku, Nazeem Muhajarine, Marni Brownell, Martin Guhn, Barry Forer
Funding Stream:
Comparative Project
Project Status:
Complete
Background
Outcome variable: The Early Development Instrument (EDI) is well-established as a population measure of child development for Kindergarten children. The EDI measures vulnerability according to five domains – physical, social, emotional, language/cognitive, and general communication.
Sample: There have been 30 population-level provincial EDI data collections completed across the 10 provinces between 2004 and 2019. Our study examined the relationship between home prices, local earnings, and EDI vulnerability rates across all Canadian provinces, in different years, with a focus on BC, Ontario and Quebec.
Input variables: Beyond housing and earnings, we controled for a range of socioeconomic variables that are theoretically relevant to child development, including GDP, unemployment, female labour force participation, poverty, child care fees, and the share of the population that is Indigenous and subject to the harmful legacy of colonization, etc.
Analytic approach: We used a diversity of statistical techniques, including a series of “best subset” linear regressions, to identify the subset of input measures which account for the largest amount of EDI vulnerability between provinces while maintaining a theoretically coherent and reproducible pan-Canadian model of inter-provincial differences and intra-provincial trends over time. The project’s hypothesis will be supported if indicators of housing unaffordability emerge as important inputs in the statistical model.
Research Outputs
Existing reports, presentation materials, podcasts, webinar recordings, and research summaries.
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