방법 비교

	푸리에 구조 벡터 자기회귀 (Fourier SVAR) 모형	Vector Autoregression (VAR) Model
분야	계량경제학	계량경제학
계열	Regression model	Regression model
기원 연도	2010s	2005
창시자	Extension of Sims (1980) SVAR framework with Fourier-series smoothing, developed across multiple authors in 2010s	Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
유형	Structural time-series model	Multivariate time-series model
원전	Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599.	Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer.
별칭	Fourier SVAR, Fourier structural VAR, Fourier-approximation SVAR, frequency-domain SVAR	vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
관련	3	4
요약	The Fourier SVAR model integrates Fourier series approximations into the structural VAR framework, allowing the model to capture smooth, gradual structural breaks and time-varying dynamics in multivariate time series without requiring a priori knowledge of break dates. It recovers structural shocks and their propagation effects while remaining robust to low-frequency parameter drift.	Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).