Forecast of Korea Defense Expenditures based on Time Series Models

초록

This study proposes a mathematical model that can forecast national defense expenditures. The ongoing European debt crisis weighs heavily on markets; consequently, government spending in many countries will be constrained. However, a forecasting model to predict military spending is acutely needed for South Korea because security threats still exist and the estimation of military spending at a reasonable level is closely related to economic growth. This study establishes two models: an Auto-Regressive Moving Average model (ARIMA) based on past military expenditures and Transfer Function model with the Gross Domestic Product (GDP), exchange rate and consumer price index as input time series. The proposed models use defense spending data as of 2012 to create defense expenditure forecasts up to 2025.

키워드

Defense expendituresGDPexchange rateConsumer price indexARIMA modelTransfer Function model
제목
Forecast of Korea Defense Expenditures based on Time Series Models
저자
Park, Kyung OkJUNG, HYE YOUNG
DOI
10.5351/CSAM.2015.22.1.031
발행일
2015-01
저널명
Communications for Statistical Applications and Methods
22
1
페이지
31 ~ 40