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Women Fertility Decision using the Count Model in Malaysia

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  • Rohana Kamaruddin

Abstract

Fertility depends on household decisions in Malaysia; and, in turn, these decisions are strongly influenced by economic and socio-economic factors. Currently, fertility levels around the world vary according to the intergenerational relationships, the socio-economics statuses, and the socio-demographic characteristics of a particular nation. In general, more industrialized and economically developed societies have lower fertility than less-developed societies do. Groups that are more educated and earn higher incomes have lower fertility than less-educated groups with lower incomes do. The purpose of this paper is to dicuss the development of the empirical model to identify the principal determinants of fertility in Malaysia. The results stemmed from the use of panel data that is obtained from the Minnesota Population Centre, the Integrated Public Use Microdata Series, and international data provided by the Department of Statistics, Malaysia. In the empirical analysis, count models are employed. The findings show that marital status, owning a house, and households having women of child-bearing age all affect fertility decisions. In addition, social characteristics, such as ethnicity, religion, socio-economic status, and education level, affect household¡¯s fertility decision.

Suggested Citation

  • Rohana Kamaruddin, 2017. "Women Fertility Decision using the Count Model in Malaysia," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(3), pages 133-139, September.
  • Handle: RePEc:ibn:jmsjnl:v:7:y:2017:i:3:p:133-139
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    References listed on IDEAS

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    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, Enero.
    2. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, March.
    3. Kevin McQuillan, 2004. "When Does Religion Influence Fertility?," Population and Development Review, The Population Council, Inc., vol. 30(1), pages 25-56, March.
    4. Gary S. Becker & H. Gregg Lewis, 1974. "Interaction between Quantity and Quality of Children," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 81-90, National Bureau of Economic Research, Inc.
    5. Dierk Herzer & Holger Strulik & Sebastian Vollmer, 2012. "The long-run determinants of fertility: one century of demographic change 1900–1999," Journal of Economic Growth, Springer, vol. 17(4), pages 357-385, December.
    6. S. Philip Morgan, 2003. "Is low fertility a twenty-first-century demographic crisis?," Demography, Springer;Population Association of America (PAA), vol. 40(4), pages 589-603, November.
    7. Joshua Angrist & Victor Lavy & Analia Schlosser, 2010. "Multiple Experiments for the Causal Link between the Quantity and Quality of Children," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 773-824, October.
    8. Gary S. Becker, 1960. "An Economic Analysis of Fertility," NBER Chapters, in: Demographic and Economic Change in Developed Countries, pages 209-240, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    fertility; household; socioeconomics; demographics; population;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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