Forecasting the Philippines’ GDP growth using long short-term memory neural network regression and mixed-data sampling regression models
Having better forecasts is crucial in the Philippines’ state of economic recovery. The study intends to forecast the Philippines’ GDP growth rate from 2011 to 2021 using two emerging methods used for mixed-frequency data: Mixed-Data Sampling (MIDAS) Regression and Long Short-Term Memory (LSTM) Neura...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2022
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etdb_math/3 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1003&context=etdb_math |
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