Title Small area estimation for consumer confidence indicators
Authors Vitkauskaitė, Akvilė ; Čiginas, Andrius
DOI 10.20334/2025-048-K
ISBN 9786094764257
Full Text Download
Is Part of Baltic-Nordic-Ukrainian workshop on survey statistics 2025, August 25-29, 2025, Vilnius, Lithuania : proceedings.. Vilnius : Vilnius Gediminas Technical University, 2025. p. 109-111.. ISBN 9786094764257
Keywords [eng] consumer confidence indicator ; small area estimation ; google trends ; economic sentiment ; nowcasting.
Abstract [eng] This study explores the use of small area estimation techniques to improve the precision and timeliness of Consumer Confidence Indicator (CCI) estimates at the county level in Lithuania. Building on previous research integrating social media sentiment, Google Trends data, and administrative statistics for national-level CCI nowcasting, this work investigates how auxiliary information can enhance CCI estimation for smaller geographic areas. The analysis uses Google Trends indicators, which provide county-level information on economic sentiment, as a key auxiliary source. The results will contribute to the development of more granular and responsive economic indicators to support local-level decision-making.
Published Vilnius : Vilnius Gediminas Technical University, 2025
Type Conference paper
Language English
Publication date 2025
CC license CC license description