Decision Sciences
3 years ago

Philippines CPI Analysis Reveals Rising Prices and Economic Policy Implications

Cost Modeling and Analysis of the Consumer Price Index in the Philippines
Jefferson A. Costales

Paper Summary

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The article discusses how technology can help people make better financial decisions by analyzing the Consumer Price Index (CPI) in the Philippines. The researchers used data from 2000 to 2015 and a forecasting method called Box-jenkins time series analysis to predict CPI values from 2015 to 2017. The results show that CPI in the Philippines has been increasing with some fluctuations. The average CPI from 2000 to 2015 was 108.20, with the highest value of 142.6 in December 2015 and the lowest of 75.3 in January 2000. The best mathematical model for predicting future CPI values was determined to be SARIMA(1,1,0)(1,0,0){12} with drift.