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Measuring subjective housing affordability using a data-driven discrete information approach: A case study of Selangor, Malaysia

Measuring subjective housing affordability using a data-driven discrete information approach: A case study of Selangor, Malaysia

Description

A widely adopted measure of housing affordability is that households should spend no more than 30% of their household income on housing.
A widely adopted measure of housing affordability is that households should spend no more than 30% of their household income on housing. However, this normative threshold is an arbitrary Great Depression-era guideline and may not be relevant today. This paper proposes a subjective indicator of housing affordability by introducing a method commonly used in the medical sciences. It utilizes discrete information to estimate a subjective affordability ratio that discriminates between subjective house-poor and non-house-poor households. We apply the proposed method to household-level data collected in Selangor, Malaysia, and show that the optimal cut-off point is 23.5%. This estimated value suggests a higher prevalence of house-poor households than is implied by the regularly assumed 30% threshold. In addition, we perform a sensitivity analysis and find the bias in the estimated cut-off point is close to zero.

Author
1. Jason Wei Jian Ng
2. Tomáš Želinský
3. Catherine S. Forbes
4. Cash Hao Looi
Journal
Applied Economics Letter
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