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Low fertility in Malaysia: Can it be explained?

Author

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  • Chor Foon Tang

    (Universiti Sains Malaysia)

  • Nai-Peng Tey

    (University of Malaya)

Abstract

This study assesses the determinants of the fertility rate in Malaysia using the combined tests for cointegration and generalised variance decomposition analysis of time series data for the period 1980–2012. We find that the fertility rate is cointegrated with its determinants, i.e. female employment, female education, medical quality and per capita income. Consistent with findings from cross-sectional surveys and fertility theories, fertility in Malaysia has an inverse relationship with female employment, female education and medical quality. Additionally, we also find an inverted U-shape relationship between fertility and per capita income. Our study reaffirms that socio-economic determinants play a significant role in explaining the transition of fertility in Malaysia over the short-run and long-run.

Suggested Citation

  • Chor Foon Tang & Nai-Peng Tey, 2017. "Low fertility in Malaysia: Can it be explained?," Journal of Population Research, Springer, vol. 34(2), pages 101-118, June.
  • Handle: RePEc:spr:joprea:v:34:y:2017:i:2:d:10.1007_s12546-017-9187-2
    DOI: 10.1007/s12546-017-9187-2
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    More about this item

    Keywords

    Cointegration; Fertility; Medical quality; Inverted U-shape relationship; Malaysia;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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