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Model parametara koji se menja u vremenu (TVP-MA)×Model autoregresije sa vremenski promenljivim parametrima (TVP-AR)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1990s1976–2005
TvoracHarvey, A. C.; Durbin, J. & Koopman, S. J.Cooley & Prescott (1976); further developed by Kim & Nelson (1999) and Cogley & Sargent (2001, 2005)
TipTime-varying state-space modelTime-series model with drifting coefficients
Temeljni izvorHarvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 9780521321969Cogley, T., & Sargent, T. J. (2005). Drifts and volatilities: Monetary policies and outcomes in the post WWII US. Review of Economic Dynamics, 8(2), 262-302. DOI ↗
Drugi naziviTVP-MA model, state-space MA, Kalman filter MA, time-varying MATVP-AR, time-varying AR, state-space AR with drifting coefficients, random-walk coefficient AR
Srodne64
SažetakThe time-varying parameter moving average (TVP-MA) model extends the standard MA model by allowing the moving-average coefficients to change over time. Cast as a state-space system, it is estimated via the Kalman filter and smoother, making it well suited for series where the shock-transmission dynamics evolve across the sample.The Time-Varying Parameter Autoregressive (TVP-AR) model extends the classical AR model by allowing its autoregressive coefficients to drift over time, typically as a random walk. Cast as a state-space system, the model captures gradual structural change in the dynamics of a univariate time series without imposing a fixed break date.
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ScholarGateUporedite metode: Time-varying parameter MA model · Time-varying parameter AR model. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare