IDEAS home Printed from https://ideas.repec.org/a/ibn/jmsjnl/v7y2017i3p133-139.html

Women Fertility Decision using the Count Model in Malaysia

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/jms/article/view/68300/38022
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/jms/article/view/68300
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, November.
    2. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, January.
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oded Galor, 2012. "The demographic transition: causes and consequences," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(1), pages 1-28, January.
    2. Wookun Kim, 2020. "Baby Bonus, Fertility, and Missing Women," Departmental Working Papers 2011, Southern Methodist University, Department of Economics.
    3. Bloom, D.E. & Luca, D.L., 2016. "The Global Demography of Aging," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 3-56, Elsevier.
    4. Ea Hoppe Blaabæk & Mads Meier Jæger & Joseph Molitoris, 2020. "Family Size and Educational Attainment: Cousins, Contexts, and Compensation," European Journal of Population, Springer;European Association for Population Studies, vol. 36(3), pages 575-600, July.
    5. Galindev, Ragchaasuren, 2008. "The Evolution of Population, Technology and Output," MPRA Paper 17116, University Library of Munich, Germany, revised 22 Aug 2009.
    6. repec:got:cegedp:140 is not listed on IDEAS
    7. Azam Mehtabul & Hang Saing Chan, 2018. "Is There Really a Trade-Off? Family Size and Investment in Child Quality in India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(1), pages 1-12, January.
    8. Emmanuel Bovari & Victor Court, 2019. "Energy, knowledge, and demo-economic development in the long run: a unified growth model," Working Papers hal-01698755, HAL.
    9. Menta, Giorgia & Lepinteur, Anthony, 2021. "Boys don’t cry (or do the dishes): Family size and the housework gender gap," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 164-188.
    10. Cheng-Tao Tang & Chun Yee Wong & Ayush Batzorig, 2022. "Do Financial Incentives on High Parity Birth Affect Fertility? Evidence from the Order of Glorious Mother in Mongolia," Working Papers EMS_2022_01, Research Institute, International University of Japan.
    11. Ahmed, S. Amer & Vargas Da Cruz,Marcio Jose & Quillin,Bryce Ramsey & Schellekens,Philip, 2016. "Demographic change and development : a global typology," Policy Research Working Paper Series 7893, The World Bank.
    12. Bampinas, Georgios & Mavropoulos, Georgios, 2024. "Asymmetric effects between economic development and fertility: What do 140 years of data tell us?," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    13. Taehoon Kim, 2026. "The impact of shadow education expenditures on fertility rates in South Korea," Journal of Population Economics, Springer;European Society for Population Economics, vol. 39(1), pages 1-36, March.
    14. Li, Honghui & Hiwatari, Masato, 2020. "Family Size and Educational Attainment : The Case of China," Discussion paper series. A 353, Graduate School of Economics and Business Administration, Hokkaido University.
    15. Alicia Adsera, 2011. "Where Are the Babies? Labor Market Conditions and Fertility in Europe [Où sont les bébés ? Conditions du marché du travail et fécondité en Europe]," European Journal of Population, Springer;European Association for Population Studies, vol. 27(1), pages 1-32, February.
    16. William Lord & Peter Rangazas, 2006. "Fertility and development: the roles of schooling and family production," Journal of Economic Growth, Springer, vol. 11(3), pages 229-261, September.
    17. Francesca Modena & Concetta Rondinelli & Fabio Sabatini, 2014. "Economic Insecurity and Fertility Intentions: The Case of Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S1), pages 233-255, May.
    18. Grant Miller, 2005. "Contraception as Development? New Evidence from Family Planning in Colombia," CID Working Papers 9, Center for International Development at Harvard University.
    19. Lee, Jong-Wha & Francisco, Ruth, 2012. "Human capital accumulation in emerging Asia, 1970–2030," Japan and the World Economy, Elsevier, vol. 24(2), pages 76-86.
    20. Bing Xu & Maxwell Pak, 2021. "Child-raising cost and fertility from a contest perspective," Public Choice, Springer, vol. 186(1), pages 9-28, January.
    21. Claude Diebolt & Tapas Mishra & Faustine Perrin, 2015. "Did Gender-Bias Matter in the Quantity- Quality Trade-off in the 19th Century France ?," Working Papers of BETA 2015-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jmsjnl:v:7:y:2017:i:3:p:133-139. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.