Modelling the Determinants of Malaysian Household Debt

Hafizah Hammad Ahmad Khan; Hussin Abdullah; Shamzaeffa Samsudin

Article Details

Modelling the Determinants of Malaysian Household Debt

Authors:

Hafizah Hammad Ahmad Khan | Hussin Abdullah | Shamzaeffa Samsudin

Publisher:

İlhan ÖZTÜRK

Journal:

International Journal of Economics and Financial Issues 2016 Vol.6 Issue 4, pp.1468-1473

Document Type:

Article

Publication Date:

8/2016

Document Language:

Turkish

Document ID (Org No.):

2000812493

Frequency:

Bimonthly

eISSN:

2146-4138

Abstract:

 

This paper explores the determinants of household debt composition in Malaysia. By utilizing the bound test and Autoregressive Distributed Lag (ARDL) modelling approach, findings of this study reveals that in the long run period, a change in income level, housing price and population would have a positive impact on mortgage debt while rise in interest rates and cost of living would exert a negative influence. In addition, findings of this study supported that the household uses the debt as a substitute for income to finance the rising consumption as a result of a higher living cost. Findings of this study could provide some guidance to policymakers in controlling the mounting debt level and help in realizing the nation economic goals.

Article Details

Modelling the Determinants of Malaysian Household Debt

Authors: Hafizah Hammad Ahmad Khan | Hussin Abdullah | Shamzaeffa Samsudin

Publisher: İlhan ÖZTÜRK

Journal: International Journal of Economics and Financial Issues 2016 Vol.6 Issue 4, pp.1468-1473

Document Type: Article

Publication Date: 8/2016

Document Language: Turkish

Document ID (Org No.): 2000812493

Frequency: Bimonthly

eISSN: 2146-4138

Issues

Authors:

Hafizah Hammad Ahmad Khan | Hussin Abdullah | Shamzaeffa Samsudin

Publisher:

İlhan ÖZTÜRK

Journal:

International Journal of Economics and Financial Issues 2016 Vol.6 Issue 4, pp.1468-1473

Document Type:

Article

Publication Date:

8/2016

Document Language:

Turkish

Document ID (Org No.):

2000812493

Frequency:

Bimonthly

eISSN:

2146-4138