Addition of Subset and Dummy Variables in the Threshold Spatial Vector Autoregressive with Exogenous Variables Model to Forecast Inflation and Money Outflow

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Tarih

2024

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

The TSpVARX model can be used in inflation and money outflow forecasting by accommodating the reciprocal relationship among endogenous variables, the influence of exogenous variables, inter-regional linkages, and the nonlinearity of the relationship between endogenous and predetermined variables. However, the impact of some events, such as Eid al-Fitr and fuel price adjustments, still cannot be accommodated in the TSpVARX model. This condition causes inflation and money outflow forecasting using TSpVARX to be unsatisfactory. Our study is to improve the forecasting performance of the TSpVARX model by adding subset and dummy variables. We use a 12th lag subset variable to capture seasonal effects and a dummy variable to represent fuel price changes. These additions enhance the model’s accuracy in forecasting inflation and money outflow by accounting for recurring patterns and specific events, like fuel price changes. Based on the RMSE values of the training and testing data, we can conclude that forecasting inflation and money outflow using TSpVARX with the addition of subset and dummy variables is better than the regular TSpVARX. The inflation and money outflow forecasting generated after the addition of subset and dummy variables are also more fluctuating as in the movement of the actual data.

Açıklama

Anahtar Kelimeler

nonlinear time series, threshold spatial, SpVAR, inflation, subset variable, TSpVARX

Kaynak

ECONOMIES

WoS Q DeÄŸeri

Q2

Scopus Q DeÄŸeri

Cilt

12

Sayı

12

Künye

Setiawan, Setiawan, Gama Putra Danu Sohibien, Dedy Dwi Prastyo, Muhammad Sjahid Akbar, and Anton Abdulbasah Kamil. 2024. Addition of Subset and Dummy Variables in the Threshold Spatial Vector Autoregressive with Exogenous Variables Model to Forecast Inflation and Money Outflow. Economies 12: 352. https://doi.org/ 10.3390/economies12120352