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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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    2. 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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    12. Dimiter Philipov & Hans-Peter Kohler, 2001. "Tempo Effects in the Fertility Decline in Eastern Europe: Evidence from Bulgaria, the Czech Republic, Hungary, Poland, and Russia," European Journal of Population, Springer;European Association for Population Studies, vol. 17(1), pages 37-60, March.
    13. 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.
    14. Kenneth Land, 2001. "A sensitivity analysis of the bongaarts-feeney method for adjusting bias in observed period total fertility rates," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 17-28, February.
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    Cited by:

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    2. Ryohei Mogi & Vladimir Canudas-Romo, 2018. "Expected years ever married," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(47), pages 1423-1456.
    3. Berde, Éva & Kovács, Eszter, 2016. "A svéd és a magyar termékenységi arányszám összehasonlítása [Comparison of Swedish and Hungarian fertility levels]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1348-1374.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Máire Ní Bhrolcháin, 2011. "Tempo and the TFR," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 841-861, August.
    9. Mathías Nathan & Ignacio Pardo & Wanda Cabella, 2016. "Diverging patterns of fertility decline in Uruguay," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(20), pages 563-586.
    10. 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.
    11. Olivier Thevenon, 2009. "Does fertility respond to work and family reconciliation policies in France?," Working Papers hal-00424832, HAL.
    12. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590.

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