Forecasting consumer price index (CPI) using time series models and multi regression models (Albania case study)
View/ Open
Date
2018Author
Gjika (Dhamo), Eralda
Puka, Llukan
Zaçaj, Oriana
Metadata
Show full item recordAbstract
In this work we analyse the CPI index as the official index to measure inflation in Albania, Harmonized Indices of Consumer Prices (HICPs) as the bases for comparative measurement of inflation in European countries and other financial indicators that may affect CPI. This study is an attempt to model CPI based on combination of multiple regression model with time series forecasting models. In the first approach, time series models were used directly on the CPI time series index to obtain the forecast. In the second approach, the time series models (SARIMA, ETS) were used to model and simulate forecast for each subcomponent with significant correlation to CPI and then use the multiple regression model to obtain CPI forecast. The projection of this indicator is important for understanding the country's economic and social development. This study helps researchers in the field of time series modeling, economic analysis and investments.
Issue date (year)
2018Author
Gjika (Dhamo), EraldaThe following license files are associated with this item: