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Fertility Trends in the United States, 1980-2017: The Role of Unintended Births

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Abstract

After roughly 10 years of decline, the U.S. fertility rate reached a historic low in 2017. However, aggregate trends in fertility mask substantial heterogeneity across different demographic groups. Young women and unmarried women have seen the largest declines in fertility in recent years while women older than 30 and married women have actually experienced increases. In this paper, we explore the role of changes in unintended births in explaining fertility patterns in the U.S. from 1980 to 2017, with an emphasis on the fertility decline of the last decade. We begin by documenting heterogeneity in fertility trends across demographic groups, using data from the National Center for Health Statistics’ Natality Detail Files. We then use data from the National Survey of Family Growth to describe trends in unintended births and to estimate a model that will identify the maternal characteristics that most strongly predict them. Finally, we use this model to predict the proportion of births in the Natality Detail Files that are unintended. We find that 35% of the decline in fertility between 2007 and 2016 can be explained by declines in births that were likely unintended, and that this is driven by drops in births to young women.

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  • Kasey Buckles & Melanie E. Guldi & Lucie Schmidt, 2019. "Fertility Trends in the United States, 1980-2017: The Role of Unintended Births," Department of Economics Working Papers 2019-20, Department of Economics, Williams College.
  • Handle: RePEc:wil:wileco:2019-20
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    Cited by:

    1. Doepke, Matthias & Hannusch, Anne & Kindermann, Fabian & Tertilt, Michèle, 2022. "The Economics of Fertility: A New Era," IZA Discussion Papers 15224, Institute of Labor Economics (IZA).
    2. Jungho Kim, 2023. "Female education and its impact on fertility," IZA World of Labor, Institute of Labor Economics (IZA), pages 228-228, May.
    3. Li, Xiaoyin & Winters, John, 2024. "Fertility Divergence across Large and Small Areas," ISU General Staff Papers 202402081437060000, Iowa State University, Department of Economics.
    4. Kelly, Andrea & Lindo, Jason M. & Packham, Analisa, 2020. "The power of the IUD: Effects of expanding access to contraception through Title X clinics," Journal of Public Economics, Elsevier, vol. 192(C).
    5. Martha J. Bailey & Lea Bart & Vanessa Wanner Lang, 2022. "The Missing Baby Bust: The Consequences of the COVID-19 Pandemic for Contraceptive Use, Pregnancy, and Childbirth Among Low-Income Women," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(4), pages 1549-1569, August.
    6. Kim, Jun Hyung & Wang, Shaoda, 2021. "Birth Order Effects, Parenting Style, and Son Preference," GLO Discussion Paper Series 1007, Global Labor Organization (GLO).
    7. Nina Brooks & Tom Zohar, 2021. "Out of Labor and Into the Labor Force? The Role of Abortion Access, Social Stigma, and Financial Constraints," Working Papers wp2021_2111, CEMFI.
    8. Myers, Caitlin Knowles, 2021. "Cooling off or Burdened? The Effects of Mandatory Waiting Periods on Abortions and Births," IZA Discussion Papers 14434, Institute of Labor Economics (IZA).

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    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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