Fiala, OliverKielem, AristideDelamónica, EnriqueObaidy, MohamedEspinoza-Delgado, JoséGiacoponello, MarielaCid Martinez, Ismael2025-01-202025-01-202022-08-011. Fiala O, Kielem A, Delamónica E, et al. Nowcasting impact of COVID-19 on multidimensional child poverty. Statistical Journal of the IAOS. 2022;38(3):853-859. doi:10.3233/SJI-2200601874-7655https://doi.org/10.3233/SJI-220060https://hdl.handle.net/20.500.14468/25387The registered version of this article, first published in Statistical Journal of the IAOS, is available online at the publisher's website: IOS Press, https://doi.org/10.3233/SJI-220060La versión registrada de este artículo, publicado por primera vez en Statistical Journal of the IAOS, está disponible en línea en el sitio web del editor: IOS Press , https://doi.org/10.3233/SJI-220060From the onset, it was clear that the impact of the global economic and social crisis caused by the COVID-19 pandemic was unlikely to affect all children equally. Thus, it was necessary to ascertain the impact of COVID-19 on child poverty as the events unfolded. Many of the indirect effects of the pandemic – disruptions to health services, delayed vaccination programmes, widespread school closures, and increases in food insecurity – have significant impacts on the realisation of children’s rights and, consequently, were expected to increase material deprivations across different dimensions. The question was by how much? In this article we explain the modelling and methodological approach to project or nowcast the answer to that question. The method is dynamic as it was revised as additional information emerged during 2020 and 2021.eninfo:eu-repo/semantics/openAccess56 Ciencias Jurídicas y Derecho53 Ciencias Económicasartículonowcastingpovertychild povertychildrenCOVID-19