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The Quantum and Tempo of Life-Cycle Events

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  • Griffith Feeney
  • John Bongaarts

Abstract

This study develops and applies a general framework for the analysis of the period quantum and tempo of life-cycle events, extending methods developed previously by the authors. The existence of tempo distortions is demonstrated in selected period quantum measures such as the total fertility rate and in period tempo measures such as life expectancy. A tempo distortion is defined as an inflation or deflation of a period quantum or tempo indicator of a life-cycle event, such as birth, marriage, or death, that results from a rise or fall in the mean age at which the event occurs. Period measures derived from life tables are also found to be subject to tempo distortions. Methods to remove these tempo distortions are then developed and applied.

Suggested Citation

  • Griffith Feeney & John Bongaarts, 2006. "The Quantum and Tempo of Life-Cycle Events," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 4(1), pages 115-151.
    • Handle: RePEc:vid:yearbk:v:4:y:2006:i:1:p:115-151
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    References listed on IDEAS

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    11. Tomáš Sobotka, 2004. "Is Lowest‐Low Fertility in Europe Explained by the Postponement of Childbearing?," Population and Development Review, The Population Council, Inc., vol. 30(2), pages 195-220, June.
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    14. Tomáš Sobotka, 2003. "Tempo-quantum and period-cohort interplay in fertility changes in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 8(6), pages 151-214.
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    Cited by:

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    3. Aggie Noah & Francesco Acciai & Glenn Firebaugh, 2016. "Understanding the contribution of suicide to life expectancy in South Korea," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(22), pages 617-644.
    4. Vladimir Canudas-Romo & Michel Guillot, 2015. "Truncated cross-sectional average length of life: A measure for comparing the mortality history of cohorts," Population Studies, Taylor & Francis Journals, vol. 69(2), pages 147-159, July.
    5. Joshua Goldstein & Thomas Cassidy, 2014. "A Cohort Model of Fertility Postponement," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1797-1819, October.
    6. Olivier Thevenon, 2009. "Does fertility respond to work and family reconciliation policies in France?," Working Papers hal-00424832, HAL.
    7. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590.
    8. Jingyi Dan & Nong Zhu & Li Mei, 2022. "On the Quantum and Tempo of Women First Marriages in China," IJERPH, MDPI, vol. 19(20), pages 1-10, October.
    9. Felix C. Tropf & Nicola Barban & Melinda C. Mills & Harold Snieder & Jornt J. Mandemakers, 2015. "Genetic influence on age at first birth of female twins born in the UK, 1919-68," Population Studies, Taylor & Francis Journals, vol. 69(2), pages 129-145, July.
    10. Máire Ní Bhrolcháin, 2011. "Tempo and the TFR," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 841-861, August.
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    12. Ryohei Mogi & Michael Dominic del Mundo, 2020. "Decomposing changes in first birth trends: Quantum, timing, or variance," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 18(1), pages 167-184.

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