Research
My research focuses on design-based inference and machine-learning-assisted estimators for finite populations, inference from non-probability samples, and small-area estimation, with an emphasis on official statistics.
Preprints
Ferreira, J. P. (2026). Direct domain estimation via regression-tree-assisted estimators in the production of official statistics. arXiv:2606.08289 [stat.ME]. https://arxiv.org/abs/2606.08289
Ferreira, J. P., & Goyeneche, J. J. (2026). Weighting a Census as a Non-Probability Sample: A Doubly Robust Framework for Correcting Differential Undercoverage in Uruguay’s 2023 Census. arXiv:2606.05666 [stat.ME]. https://arxiv.org/abs/2606.05666
Ferreira, J. P. (2026). weightflow: Declarative Staged Survey Weighting and Recipe-Aware Variance Estimation in R. Working paper.
Publications
Bisogno, M., Ferreira, J. P., & Goyeneche, J. J. (2026). Weighting the 2023 Uruguay Census: Correcting Omission Through Doubly Robust Estimators. The Survey Statistician, 93, 84. International Association of Survey Statisticians.
Ferreira, J. P., & Galmez, M. (2022). Uruguay adopts a new methodology for its Continuous Household Survey (CHS). The Survey Statistician, 86, 64. International Association of Survey Statisticians.
Ferreira, J. P. (2021). Metodología de la Encuesta Continua de Hogares (ECH). Instituto Nacional de Estadística (INE), Uruguay.
Technical reports
- Weighting the 2023 Census: Census Omission Weights Report. Instituto Nacional de Estadística (INE), Uruguay. PDF
Software
- weightflow: declarative staged survey weighting and recipe-aware variance estimation in R. Documentation · Source
Service
- Committee member (tribunal), undergraduate thesis on the R package metasurvey (M. Loprete, tutor N. da Silva), Licenciatura en Estadística, Universidad de la República, December 2024.
Interests
Survey sampling and weighting · official statistics · design-based inference · machine-learning-assisted estimators · inference from non-probability samples · small-area estimation.