Nowcasting Unemployment Rates with Smartphone GPS Data
| Autor: | Daisuke Moriwaki |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050101 languages & linguistics
Official statistics Index (economics) Nowcasting Computer science media_common.quotation_subject 05 social sciences 02 engineering and technology Gps data Unemployment 0202 electrical engineering electronic engineering information engineering Unemployment rate 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Demographic economics Time series media_common Mixed-data sampling |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030380809 MASTER@PKDD/ECML |
| DOI: | 10.1007/978-3-030-38081-6_3 |
| Popis: | Unemployment rate is one of the most important macroeconomic indicators. Central governments and market participants heavily rely on the index to assess the economies. However, official statistics of unemployment rate are released infrequently with substantial delay. Prediction of official statistics of labor market will be helpful for these authorities as well as private companies and even workers. In this paper, we combine massive location data coming from smartphones and mixed data sampling (MIDAS) techniques to predict current unemployment rate in Japan. We found GPS data is very useful to predict the status of labor markets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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