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1 – 2 of 2Gary John Rangel, Jason Wei Jian Ng., Thangarajah Thiyagarajan Murugasu and Wai Ching Poon
The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the…
Abstract
Purpose
The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.
Design/methodology/approach
This study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.
Findings
The analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.
Practical implications
Based on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.
Originality/value
This study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.
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Andrea Kunze and Rodney Hopson
This study aims to explore how science, technology, engineering, mathematics and medicine (STEMM) graduate students’ experiences with and conceptualizations of racism can more…
Abstract
Purpose
This study aims to explore how science, technology, engineering, mathematics and medicine (STEMM) graduate students’ experiences with and conceptualizations of racism can more clearly expose the current racial climate across multiple academic institutions.
Design/methodology/approach
A mixed-method approach using a single online questionnaire consisting of open-ended and Likert scale questions about their perceptions of the racial climate in their department was completed by 34 graduate students of different races and STEMM disciplines.
Findings
Results from this study suggested that graduate students, regardless of race, consistently perceive STEMM as colorblind. The results also suggest that experiencing or witnessing racial discrimination is potentially predictive of perceptions of negative social support. Furthermore, multiracial and international graduate students often face different experiences of discrimination than do other graduate students.
Originality/value
By better understanding STEMM academic climates, higher education institutions can begin to reflect on the social barriers that may limit minoritized students from matriculating in academic STEMM spaces and affect retention.
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