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All Journal EKSAKTA: Journal of Sciences and Data Analysis
Dhiar Niken Larasati
Dir of Statistical Analysis and Development, Statistics Indonesia, Jl. Dr. Sutomo 6-8 Jakarta 10710 Indonesia
Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Materials Science & Nanotechnology

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Nowcasting the Transportation and Accommodation Sectors Growth using the Google Trends Index Dhiar Niken Larasati; Nucke Widowati Kusumo Projo
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 4, ISSUE 1, February 2023
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol4.iss1.art4

Abstract

This research aims to assess the possibility of the daily and weekly Google Trends Index (GTI) to predict the quarterly GDP growth. The U-MIDAS approach is utilized because it allows using of daily and weekly basis data to forecast quarterly indicators without aggregating them onto a quarterly basis hence it does not eliminate useful information on the daily and weekly data. This research uses quarterly GDP for the transportation sector and the accommodation and restaurant sector which are considered potential industries for the future of Indonesia's economy. The result shows that the daily basis GTI can effectively predict the quarterly GDP growth better than the weekly basis GTI based on the RSE scores.
Co-Authors Nucke Widowati Kusumo Projo