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Re-Assessing the Impact of Brexit on British Fertility Using Difference-in-Difference Estimation

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  • Ross Macmillan

    (University of Limerick)

  • Carmel Hannan

    (University of Limerick)

Abstract

The exit of the United Kingdom from the European Union (“Brexit”) was a seismic, and largely unexpected, political and economic event. In a recent contribution to this journal, Mavropoulos (2024) used difference-in-difference (DID) estimation to examine the impact of Brexit on fertility dynamics among European countries and concludes that there are large and robust Brexit effects. DID estimation is a tool for extracting quasi-causal estimates from observational data. As an analytic strategy, it has a number of advantages over traditional regression or covariate adjustment approaches. Using Mavropoulos as a reference point, this article re-visits the Brexit and fertility question using data from the World Bank database to elaborate on the complexities of DID estimation and the critical role of “researcher degrees of freedom”—the decisions that DID analysts must make to satisfy the underlying assumptions of the approach. Empirically, we show the important role of careful selection of control cases and ultimately conclude that there is little support for the ”Brexit hypothesis” with theoretical and methodological issues discussed.

Suggested Citation

  • Ross Macmillan & Carmel Hannan, 2025. "Re-Assessing the Impact of Brexit on British Fertility Using Difference-in-Difference Estimation," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 44(4), pages 1-20, August.
  • Handle: RePEc:kap:poprpr:v:44:y:2025:i:4:d:10.1007_s11113-025-09968-w
    DOI: 10.1007/s11113-025-09968-w
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    References listed on IDEAS

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    1. Isabel Ruiz & Carlos Vargas-Silva, 2021. "The Anxiety of Political Uncertainty: Insights from the Brexit Vote," The ANNALS of the American Academy of Political and Social Science, , vol. 697(1), pages 81-98, September.
    2. Debra Friedman & Michael Hechter & Satoshi Kanazawa, 1994. "A theory of the value of children," Demography, Springer;Population Association of America (PAA), vol. 31(3), pages 375-401, August.
    3. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    4. Jun Du & Emine Beyza Satoglu & Oleksandr Shepotylo, 2023. "How did Brexit affect UK trade?," Contemporary Social Science, Taylor & Francis Journals, vol. 18(2), pages 266-283, March.
    5. Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
    6. Ron Lesthaeghe, 2010. "The Unfolding Story of the Second Demographic Transition," Population and Development Review, The Population Council, Inc., vol. 36(2), pages 211-251, June.
    7. Georgios Mavropoulos, 2024. "Brexit and Fertility Implications in the UK and Europe: A Regional DID and Panel Event Study Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(6), pages 1-11, December.
    8. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
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