Multi-source data and non-probability samples

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The statistical literature investigates estimators based on non-probability samples under a set of highly restrictive “standard” conditions, which are rarely met in real-world applications. The project aims to develop new estimators and new methods for assessing sampling error when these standard conditions do not hold. The postdoctoral researcher’s work will involve both theoretical research, focusing on the properties—particularly the asymptotic properties—of the proposed estimators, and simulation-based investigations. The position therefore requires both advanced theoretical skills and strong expertise in simulation methods. Subject to data availability, empirical applications will also be developed, with a particular focus on the study of poverty using deprivation indicators. Where to apply Website https://www.dss.uniroma1.it/it . Requirements. Additional Information . Eligibility criteria. Eligible destination country/ies for fellows: . Italy. Eligibility of fellows: country/ies of residence: . EUROPE. Eligibility of fellows: nationality/ies: . EUROPE. Website for additional job details https://trasparenza.uniroma1.it/page/5/details/36790/bando-ipd-082026-dati-mult…. <h2