Title |
Small area estimation for consumer confidence indicators |
Authors |
Vitkauskaitė, Akvilė ; Čiginas, Andrius |
DOI |
10.20334/2025-048-K |
ISBN |
9786094764257 |
Full Text |
|
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 |
|