Determinants of Reverse Mortgage Usage in Malaysia
Mohammed Mohammed Ishaq () and
Sulaiman Noralfishah ()
Additional contact information
Mohammed Mohammed Ishaq: Faculty of Technology Management Business, Universiti Tun Hussein,Onn, Malaysia
Sulaiman Noralfishah: Faculty of Technology Management & Business, Universiti Tun Hussein,Onn, Malaysia
Real Estate Management and Valuation, 2018, vol. 26, issue 3, 5-23
Abstract:
This study aims to identify the factors that influence a household’s willingness to use reverse mortgage as a source of supplementary income in old age by adopting the original Theory of Planned Behavior (TPB) and extending it with three other additional constructs. Using a convenience sampling technique, a total of 391 valid questionnaires were used for data analysis. The data analysis was conducted using the SmartPLS software, version 3.2.6. The results suggest that the sense of attachment to a place, attitude, motive of bequest, social influence and perceived ability positively influence a household’s willingness to use reverse mortgage, while financial behavior was found to negatively influence the willingness to do so. The findings of this study extend the application of the TPB to the domain of reverse mortgage product.
Keywords: elderly; financial sustainability; housing; retirement; reverse mortgage (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/remav-2018-0021 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:remava:v:26:y:2018:i:3:p:5-23:n:1
DOI: 10.2478/remav-2018-0021
Access Statistics for this article
Real Estate Management and Valuation is currently edited by Sabina Zrobek
More articles in Real Estate Management and Valuation from Sciendo
Bibliographic data for series maintained by Peter Golla ().