Economics, Econometrics and Finance
8 years ago

Revolutionizing economic monitoring: Seasonal adjustments boost accuracy of CPI data

Open Journal of Social Sciences
Seasonal Adjustment of the Consumer Price Index
Tianyi Zhang

Paper Summary

Related papers

Theme background image
Mathematics
8 years ago

New measures revolutionize reliable seasonal adjustment for economic data analysis.

Multicollinearity
Measurement Uncertainty
Least Squares
3 views
Business, Management and Accounting
a year ago

Predicting Future Prices: ARIMA Model Forecasts Consumer Price Index Trends

Production Management
Data Mining
Multimedia Learning
Economics, Econometrics and Finance
4 years ago

Residual seasonality in economic data reduced by new adjustment procedures.

Infrastructure Impact
Retirement Planning
3 views

Seasonal adjustments of the Consumer Price Index (CPI) are important for accurately tracking changes in prices over time. Researchers used a statistical model called ARIMA to adjust China's monthly CPI for seasonal variations, like the Chinese Spring Festival. The adjusted CPI data showed to be more sensitive and helpful in monitoring the overall economy.