Google trends indices as factors in forecasting unemployment rates in the Philippines

• Main Authors: Bellosillo, Dianne Althea A., Bernardo, Learrah Mari A., Ng, Mark Stevens C., Villanueva, Celina Camille B.
• Format: text
• Published: Animo Repository 2022
• Subjects: Unemployment—Philippines—Forecasting; Labor Economics; Work, Economy and Organizations
• Online Access: https://animorepository.dlsu.edu.ph/etdb_econ/41; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1041&context=etdb_econ
• Institution: De La Salle University

With search engines gaining traction for job seekers, Internet searches have become a viable data source in forecasting unemployment in developed countries. The project seeks to answer if search data from Google Trends are useful as a factor in forecasting the unemployment rates in the context of de...