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The Future of Assisted Reproductive Technology Live Births in the United States

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  • Katherine Tierney

    (Western Michigan University)

Abstract

As postponement of first births continues in the United States, women and couples will likely continue to turn to assisted reproductive technologies (ART) to overcome biological barriers to childbearing. This paper uses stochastic projections to estimate the potential impacts of ART on the US total fertility rate (TFR) overall and across sociodemographic groups using publicly available data. Assuming the trends in ART continue and the TFR remains at the mean estimate, the projection shows the ART TFR will rise from 0.023 accounting for 1.29% of the mean projected TFR in 2020 to 0.048 or 2.64% of the TFR by 2040. However, for the TFR of women over 30, this percentage is estimated at 2.68% in 2020 and 5.60% by 2040. Group-level projections quantify stratification by parity, race, and education assuming trends across these groups continue. Overall, the results show that if current trends continue, growth in demand for ART will likely increase, especially at older maternal ages, even as inequalities by race and social class remain. These projections provide a picture of ART births if inequality in access and outcomes is not addressed and highlight the need for attention to policies that address these disparities.

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  • Katherine Tierney, 2022. "The Future of Assisted Reproductive Technology Live Births in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(5), pages 2289-2309, October.
    • Handle: RePEc:kap:poprpr:v:41:y:2022:i:5:d:10.1007_s11113-022-09731-5
    DOI: 10.1007/s11113-022-09731-5
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    1. James Raymer & Qing Guan & Robert J. Norman & William Ledger & Georgina M. Chambers, 2020. "Projecting future utilization of medically assisted fertility treatments," Population Studies, Taylor & Francis Journals, vol. 74(1), pages 23-38, January.
    2. Andrew Cherlin & Erin Cumberworth & S. Philip Morgan & Christopher Wimer, 2013. "The Effects of the Great Recession on Family Structure and Fertility," The ANNALS of the American Academy of Political and Social Science, , vol. 650(1), pages 214-231, November.
    3. Panagiotelis, Anastasios & Athanasopoulos, George & Gamakumara, Puwasala & Hyndman, Rob J., 2021. "Forecast reconciliation: A geometric view with new insights on bias correction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 343-359.
    4. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    5. Hans-Peter Kohler & José Antonio Ortega, 2002. "Tempo-Adjusted Period Parity Progression Measures, Fertility Postponement and Completed Cohort Fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(6), pages 91-144.
    6. Jane Menken, 1985. "Age and fertility: How late can you wait?," Demography, Springer;Population Association of America (PAA), vol. 22(4), pages 469-483, November.
    7. Lee, Ronald D., 1993. "Modeling and forecasting the time series of US fertility: Age distribution, range, and ultimate level," International Journal of Forecasting, Elsevier, vol. 9(2), pages 187-202, August.
    8. Tomáŝ Sobotka & Martin A. Hansen & Tina Kold Jensen & Anette Tønnes Pedersen & Wolfgang Lutz & Niels Erik Skakkebæk, 2008. "The Contribution of Assisted Reproduction to Completed Fertility: An Analysis of Danish Data," Population and Development Review, The Population Council, Inc., vol. 34(1), pages 79-101, March.
    9. Anne McDaniel & Thomas DiPrete & Claudia Buchmann & Uri Shwed, 2011. "The Black Gender Gap in Educational Attainment: Historical Trends and Racial Comparisons," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 889-914, August.
    10. Shanika L. Wickramasuriya & George Athanasopoulos & Rob J. Hyndman, 2019. "Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 804-819, April.
    11. S. Philip Morgan & Heather Rackin, 2010. "The Correspondence Between Fertility Intentions and Behavior in the United States," Population and Development Review, The Population Council, Inc., vol. 36(1), pages 91-118, March.
    12. Marianne Bitler & Lucie Schmidt, 2012. "Utilization of Infertility Treatments: The Effects of Insurance Mandates," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 125-149, February.
    13. Tomáš Sobotka & Vegard Skirbekk & Dimiter Philipov, 2011. "Economic Recession and Fertility in the Developed World," Population and Development Review, The Population Council, Inc., vol. 37(2), pages 267-306, June.
    14. Panagiotelis, Anastasios & Gamakumara, Puwasala & Athanasopoulos, George & Hyndman, Rob J., 2023. "Probabilistic forecast reconciliation: Properties, evaluation and score optimisation," European Journal of Operational Research, Elsevier, vol. 306(2), pages 693-706.
    15. Athanasopoulos, George & Ahmed, Roman A. & Hyndman, Rob J., 2009. "Hierarchical forecasts for Australian domestic tourism," International Journal of Forecasting, Elsevier, vol. 25(1), pages 146-166.
    16. Peter Mcdonald, 2006. "Low Fertility and the State: The Efficacy of Policy," Population and Development Review, The Population Council, Inc., vol. 32(3), pages 485-510, September.
    17. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    18. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    19. Hans-Peter Kohler & José Antonio Ortega, 2002. "Tempo-Adjusted Period Parity Progression Measures:," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(7), pages 145-190.
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    1. Ester Lazzari & Michaela Potančoková & Tomáš Sobotka & Edith Gray & Georgina M. Chambers, 2023. "Projecting the Contribution of Assisted Reproductive Technology to Completed Cohort Fertility," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(1), pages 1-22, February.
    2. Katherine Tierney & Ester Lazzari, 2024. "Impacts of COVID-19 on Medically Assisted Live Birth Rates in the United States in 2020 and 2021," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(1), pages 1-16, February.

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