Home Demand for Life Insurance in Malaysia: An Ethnic Comparison Using Household Expenditure Survey Data
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Demand for Life Insurance in Malaysia: An Ethnic Comparison Using Household Expenditure Survey Data

  • Andrew K. G. Tan EMAIL logo , Steven T. Yen , Abdul Rahman Hasan and Kamarudin Muhamed
Published/Copyright: March 11, 2014

Abstract

This study examines the socio-demographic determinants of household expenditures on life insurance in Malaysia. Cragg’s two-part regression model is applied to data of 20,313 sample households from the 2009–2010 Malaysian Household Expenditure Survey to examine the determinants of purchase decisions and expenditure level for life insurance. Results of marginal effects, segmented by ethnicity, suggest that while socio-demographic factors are important determinants of life insurance demand, the effects vary across ethnic groups in Malaysia. For instance, wealth and education levels are associated with purchase likelihoods and amount of life insurance premiums purchased across ethnic groups. However, household size, regional location, urbanicity, and occupation type are associated with life insurance demand within certain ethnic groups only. Based on these results, several observations are noted vis-à-vis the life insurance market in Malaysia.

Acknowledgement

Research support from the Universiti Sains Malaysia Research University (RU) grant (Grant No. 1001/PSOSIAL/816238) is acknowledged.

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  1. 1

    Specifically, the EIS is expected to spur growth in the insurance sector by providing basic low-premium term life insurance with optional critical illness and hospitalization benefit coverages. This also serves as a safety net for the lower income group, whilst transforming Malaysia into a more adequately insured nation. The 1MMPP is a micro-insurance scheme with low monthly premiums to offer basic protection against death and disability and provide hospital income. The FWHIS serves as a compulsory medical/health insurance plan for the 3.1 million foreign work force involved in the building up of the nation’s infrastructure (PEMANDU 2013). Other measures aimed at boosting the Malaysian insurance industry include structural reforms to liberalize and develop the industry, improved efficiencies in the insurance eco-system and strengthened frameworks for consumer protection (Dhesi 2011).

  2. 2

    US$1.00 = RM3.04 (approximately as of 13 April 2013).

  3. 3

    Cragg (1971) also suggested a truncated normal distribution for vi, which was rejected by our data. Our attempt to estimate the model with such alternative error distribution was unsuccessful.

  4. 4

    There are also 6% Malaysians of other ethnic backgrounds (e.g. Kadazan, Iban, Murut, Dayak) but the current study focuses only on the three major ethnic groups in Malaysia.

  5. 5

    Separate probit estimation with the whole sample and OLS estimation with the truncated sample, as noted above, produced identical results.

Published Online: 2014-3-11
Published in Print: 2014-7-1

©2014 by Walter de Gruyter Berlin / Boston

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