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The causal relationship between female labor supply and fertility in the USA: updated evidence via a time series multi-horizon approach

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  • Paraskevi Salamaliki
  • Ioannis Venetis
  • Nicholas Giannakopoulos

Abstract

The purpose of this paper is to investigate the causality between female labor supply and fertility in the presence of auxiliary variables such as education, female wages, and male relative cohort size. We employ annual time series data spanning the period 1948 to 2007 for both an aggregate and an age-specific group. Our econometric specification follows closely the concepts and procedures proposed by Dufour and Renault (Econometrica 66(5):1099–1125, 1998 ) and Dufour et al. (J Econom 132:337–362, 2006 ) in that we conduct multi-horizon causality tests that allow for direct and indirect effects to take place. The sign and economic importance of our results is assessed via the estimation of impulse response functions. Our results establish bidirectional indirect causality between female labor supply and fertility and suggest interesting causal chains among the system variables. Causality effects are stronger for the age-specific group. Copyright Springer-Verlag 2013

Suggested Citation

  • Paraskevi Salamaliki & Ioannis Venetis & Nicholas Giannakopoulos, 2013. "The causal relationship between female labor supply and fertility in the USA: updated evidence via a time series multi-horizon approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 109-145, January.
    • Handle: RePEc:spr:jopoec:v:26:y:2013:i:1:p:109-145
    DOI: 10.1007/s00148-012-0418-8
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    Cited by:

    1. Thirunaukarasu Subramaniam & Nanthakumar Loganathan & Evelyn S. Devadason, 2018. "Determinants Of Female Fertility In Asean-5: Empirical Evidence From Bounds Cointegration Test," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(03), pages 593-618, June.
    2. Erten, Bilge & Metzger, Martina, 2019. "The real exchange rate, structural change, and female labor force participation," World Development, Elsevier, vol. 117(C), pages 296-312.
    3. Paraskevi K. Salamaliki, 2017. "Births, Marriages, and the Economic Environment in Greece: Empirical Evidence Over Time," Journal of Family and Economic Issues, Springer, vol. 38(2), pages 218-237, June.
    4. Georgios Mavropoulos & Theodore Panagiotidis, 2021. "On the drivers of the fertility rebound," Economic Change and Restructuring, Springer, vol. 54(3), pages 821-845, August.
    5. Seema Narayan & Tri Tung Nguyen & Xuan-Hoa Nghiem, 2021. "Does Economic Integration Increase Female Labour Force Participation? Labour Force Participation?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 24(1), pages 1-34, March.

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    More about this item

    Keywords

    Female labor supply; Fertility; Multi-horizon causality; C32; J13; J21;
    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
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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