Determinants of retirement wealth adequacy in Malaysia: A quantile regression approach

Retirement adequacy is essential for maintaining the standard of living obtained during the working years. The purpose of this research is to apply the quantile regression model in investigating the determinants of retirement wealth in Malaysia. This study uses the cross-sectional data of the Househ...

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Hauptverfasser:	Adnan, Afnan Aizzat Bin, Alaudin, Ros Idayuwati, Yaakob, Abdul Malek, Ismail, Noriszura
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adequacy Households Income Quantiles Regression models Retirement Sustainable development
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creator	Adnan, Afnan Aizzat Bin Alaudin, Ros Idayuwati Yaakob, Abdul Malek Ismail, Noriszura
description	Retirement adequacy is essential for maintaining the standard of living obtained during the working years. The purpose of this research is to apply the quantile regression model in investigating the determinants of retirement wealth in Malaysia. This study uses the cross-sectional data of the Household Income Survey (HIS 2014) obtained from the Department of Statistics Malaysia (DOSM). Results show that when retirement wealth adequacy is higher (upper distribution), the middle-aged households and the households under M40 and T20 income groups have smaller significant negative contributions to retirement wealth adequacy. Besides the coefficients of determinants, a better understanding of the general pattern of the estimates of the regression parameters across the distribution of the wealth-needs ratio can be obtained from the quantile regression model. In addition, this study implicitly investigates wealth disparity among Malaysian retirees, which aligns with Sustainable Development Goals (SDGs) 10, which aims to reduce inequalities among income groups (B40, M40, and T20).
doi_str_mv	10.1063/5.0182209
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subjects	Adequacy Households Income Quantiles Regression models Retirement Sustainable development
title	Determinants of retirement wealth adequacy in Malaysia: A quantile regression approach
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