Intercensal updating using structure-preserving methods and satellite imagery

Till Koebe, Alejandra Arias-Salazar, Natalia Rojas-Perilla, Timo Schmid

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Censuses are fundamental building blocks of most modern-day societies, yet collected every 10 years at best. We propose an extension of the widely popular census updating technique structure-preserving estimation by incorporating auxiliary information in order to take ongoing subnational population shifts into account. We apply our method by incorporating satellite imagery as additional source to derive annual small-area updates of multidimensional poverty indicators from 2013 to 2020 for a population at risk: female-headed households in Senegal. We evaluate the performance of our proposal using data from two different census periods.

Original languageEnglish
Pages (from-to)S170-S196
JournalJournal of the Royal Statistical Society. Series A: Statistics in Society
Volume185
Issue numberS2
DOIs
Publication statusPublished - Dec 2022

Keywords

  • multidimensional poverty
  • official statistics
  • small-area estimation
  • SPREE

ASJC Scopus subject areas

  • Statistics and Probability
  • Social Sciences (miscellaneous)
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty

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