Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp13776.html
   My bibliography  Save this paper

COVID-19 and the Future of US Fertility: What Can We Learn from Google?

Author

Listed:
  • Wilde, Joshua

    (University of Oxford)

  • Chen, Wei

    (Fordham University)

  • Lohmann, Sophie

    (Max Planck Institute for Demographic Research)

Abstract
We use data from Google Trends to predict the effect of the COVID-19 pandemic on future births in the United States. First, we show that periods of above-normal search volume for Google keywords relating to conception and pregnancy in US states are associated with higher numbers of births in the following months. Excess searches for unemployment keywords have the opposite effect. Second, by employing simple statistical learning techniques, we demonstrate that including information on keyword search volumes in prediction models significantly improves forecast accuracy over a number of cross-validation criteria. Third, we use data on Google searches during the COVID-19 pandemic to predict changes in aggregate fertility rates in the United States at the state level through February 2021. Our analysis suggests that between November 2020 and February 2021, monthly US births will drop sharply by approximately 15%. For context, this would be a 50% larger decline than that following the Great Recession of 2008-2009, and similar in magnitude to the declines following the Spanish Flu pandemic of 1918-1919 and the Great Depression. Finally, we find heterogeneous effects of the COVID-19 pandemic across different types of mothers. Women with less than a college education, as well as Black or African American women, are predicted to have larger declines in fertility due to COVID-19. This finding is consistent with elevated caseloads of COVID-19 in low-income and minority neighborhoods, as well as with evidence suggesting larger economic impacts of the crisis among such households.

Suggested Citation

  • Wilde, Joshua & Chen, Wei & Lohmann, Sophie, 2020. "COVID-19 and the Future of US Fertility: What Can We Learn from Google?," IZA Discussion Papers 13776, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp13776
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp13776.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Finlay, Jocelyn E., 2009. "Fertility response to natural disasters : the case of three high mortality earthquakes," Policy Research Working Paper Series 4883, The World Bank.
    2. Quamrul H. Ashraf & David N. Weil & Joshua Wilde, 2013. "The Effect of Fertility Reduction on Economic Growth," Population and Development Review, The Population Council, Inc., vol. 39(1), pages 97-130, March.
    3. Quamrul H. Ashraf & David N. Weil & Joshua Wilde, 2011. "The Effect of Interventions to Reduce Fertility on Economic Growth," NBER Working Papers 17377, National Bureau of Economic Research, Inc.
    4. Wilde, Joshua & Apouey, Bénédicte H. & Jung, Toni, 2017. "The effect of ambient temperature shocks during conception and early pregnancy on later life outcomes," European Economic Review, Elsevier, vol. 97(C), pages 87-107.
    5. Nicole Maestas & Kathleen J. Mullen & David Powell, 2023. "The Effect of Population Aging on Economic Growth, the Labor Force, and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 306-332, April.
    6. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
    7. John B. Casterline & John Bongaarts & Mahesh Karra & David Canning & Joshua Wilde, 2017. "The Effect of Fertility Decline on Economic Growth in Africa: A Macrosimulation Model," Population and Development Review, The Population Council, Inc., vol. 43, pages 237-263, May.
    8. 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.
    9. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    10. Nicole Maestas & Kathleen J. Mullen & David Powell, 2016. "The Effect of Population Aging on Economic Growth, the Labor Force and Productivity," NBER Working Papers 22452, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jurić Tado, 2022. "Forecasting Migration and Integration Trends Using Digital Demography – A Case Study of Emigration Flows from Croatia to Austria and Germany," Comparative Southeast European Studies, De Gruyter, vol. 70(1), pages 125-152, March.
    2. Matthias Doepke & Anne Hannusch & Fabian Kindermann & Michèle Tertilt, 2022. "The Economics of Fertility: A New Era," CRC TR 224 Discussion Paper Series crctr224_2022_347, University of Bonn and University of Mannheim, Germany.
    3. Singh, Parvati & Gemmill, Alison & Bruckner, Tim-Allen, 2023. "Casino-based cash transfers and fertility among the Eastern Band of Cherokee Indians in North Carolina: A time-series analysis," Economics & Human Biology, Elsevier, vol. 51(C).
    4. Anna Kurowska & Anna Matysiak & Beata Osiewalska, 2023. "Working from Home During Covid-19 Pandemic and Changes to Fertility Intentions Among Parents," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-31, December.
    5. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Jurić, Tado, 2022. "Forecasting Migration and Integration Trends Using Digital Demography – A Case Study of Emigration Flows from Croatia to Austria and Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(1), pages 125-152.
    7. Daniel Dench & Wenhui Li & Theodore Joyce & Howard Minkoff & Gretchen Wye, 2024. "Fertility in the Heart of the COVID-19 Storm," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(4), pages 1-20, August.
    8. Emery, Tom & Koops, Judith C., 2021. "The Impact of COVID-19 on Fertility behaviour and Intentions in the Republic of Moldova," SocArXiv fcqd9, Center for Open Science.
    9. Giray Gozgor & Mehmet Huseyin Bilgin & Peter Rangazas, 2021. "Economic Uncertainty and Fertility," Journal of Human Capital, University of Chicago Press, vol. 15(3), pages 373-399.
    10. Luca Maria Pesando & Alejandra Abufhele, 2022. "Declining Quantity and Quality of Births in Chile Amidst the COVID-19 Pandemic," Working Papers 20220081, New York University Abu Dhabi, Department of Social Science, revised Nov 2022.
    11. Andreea Avramescu & Arkadiusz Wiśniowski, 2021. "Now-casting Romanian migration into the United Kingdom by using Google Search engine data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(40), pages 1219-1254.
    12. Arpino, Bruno & LUPPI, FRANCESCA & Rosina, Alessandro, 2021. "Changes in fertility plans during the COVID-19 pandemic in Italy: the role of occupation and income vulnerability," SocArXiv 4sjvm, Center for Open Science.
    13. Lawrence M Berger & Giulia Ferrari & Marion Leturcq & Lidia Panico & Anne Solaz, 2021. "COVID-19 lockdowns and demographically-relevant Google Trends: A cross-national analysis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
    14. Jurić, Tado, 2021. "Google Trends as a Method to Predict New COVID-19 Cases and Socio-Psychological Consequences of the Pandemic," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(forthcomi).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joshua Wilde & B�n�dicte H. Apouey & Gabriel Picone & Joseph Coleman, 2017. "The Effect of Antimalarial Campaigns on Child Mortality and Fertility in Sub-Saharan Africa," Working Papers 0616, University of South Florida, Department of Economics.
    2. Thomas Ziesemer & Anne von Gässler, 2021. "Ageing, human capital and demographic dividends with endogenous growth, labour supply and foreign capital," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 20(2), pages 129-160, May.
    3. Remi Jedwab & Daniel Pereira & Mark Roberts, 2019. "Cities of Workers, Children or Seniors? Age Structure and Economic Growth in a Global Cross-Section of Cities," Working Papers 2019-13, The George Washington University, Institute for International Economic Policy.
    4. Oziengbe Scott Aigheyisi & Blessing O. Oligbi, 2019. "Adolescent Fertility in Nigeria: Implications for Economic Growth," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 51-57, September.
    5. Hanzhi Hu, 2023. "The Consequences of Fertility Decline on Educational Attainment in China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-30, December.
    6. Piotr Dominiak & Ewa Lechman & Anna Okonowicz, 2015. "Fertility Rebound And Economic Growth. New Evidence For 18 Countries Over The Period 1970–2011," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(1), pages 91-112, March.
    7. Matthew Collin & David N. Weil, 2020. "The Effect of Increasing Human Capital Investment on Economic Growth and Poverty: A Simulation Exercise," Journal of Human Capital, University of Chicago Press, vol. 14(1), pages 43-83.
    8. Aniema Atorudibo, 2021. "Marriage Norms and Fertility Outcomes in Developing Countries," Studies in Economics 2101, School of Economics, University of Kent.
    9. Das Gupta, Monica & Bongaarts, John & Cleland, John, 2011. "Population, poverty, and sustainable development : a review of the evidence," Policy Research Working Paper Series 5719, The World Bank.
    10. Gerring, John & Thacker, Strom C. & Lu, Yuan & Huang, Wei, 2015. "Does Diversity Impair Human Development? A Multi-Level Test of the Diversity Debit Hypothesis," World Development, Elsevier, vol. 66(C), pages 166-188.
    11. Casey, Gregory & Galor, Oded, 2017. "Is faster economic growth compatible with reductions in carbon emissions? The role of diminished population growth," MPRA Paper 76164, University Library of Munich, Germany.
    12. Guy Lacroix & Pierre-Carl Michaud, 2024. "Tax Incentives and Older Workers: Evidence from Canada," Cahiers de recherche / Working Papers 02, Chaire de recherche Jacques-Parizeau en politiques économiques / Jacques-Parizeau Research Chair in Economic Policy.
    13. Yi-Chun Ko & Shinsuke Uchida & Akira Hibiki, 2024. "Substitution of Human and Physical Capitals in Farm Adaptation to Extreme Temperatures: Evidence from Corn Yields in US," TUPD Discussion Papers 49, Graduate School of Economics and Management, Tohoku University.
    14. Fujii, Tomoki & Shonchoy, Abu S., 2020. "Fertility and rural electrification in Bangladesh," Journal of Development Economics, Elsevier, vol. 143(C).
    15. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    16. David E. BLOOM & Michael KUHN & Klaus PRETTNER, 2017. "Africa’s Prospects for Enjoying a Demographic Dividend," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 83(1), pages 63-76, March.
    17. Tom Vogl, 2017. "Aggregating the Fertility Transition: Intergenerational Dynamics in Quality and Quantity," NBER Working Papers 23081, National Bureau of Economic Research, Inc.
    18. Shoumitro Chatterjee & Tom S. Vogl, 2016. "Growth and Childbearing in the Short- and Long-Run," Working Papers sc_tv_growth_fertility.pd, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    19. Ben Brewer & Karen Smith Conway & Jonathan C. Rork, 2022. "Do income tax breaks for the elderly affect economic growth?," Contemporary Economic Policy, Western Economic Association International, vol. 40(1), pages 7-27, January.
    20. Ahmed, S. Amer & Vargas Da Cruz,Marcio Jose & Quillin,Bryce Ramsey & Schellekens,Philip, 2016. "Demographic change and development : a global typology," Policy Research Working Paper Series 7893, The World Bank.

    More about this item

    Keywords

    prediction; fertility; google; COVID-19; statistical learning;
    All these keywords.

    JEL classification:

    • 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
    • I10 - Health, Education, and Welfare - - Health - - - General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp13776. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.