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Moving Average (MA) Model×Vektorautoregression (VAR)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår19701980
UpphovspersonBox and JenkinsChristopher A. Sims
TypLinear time series modelMultivariate time-series model
UrsprungskällaBox, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
AliasMA model, MA(q) process, moving-average process, Box-Jenkins MAVAR, VAR model, vector autoregressive model, multivariate autoregression
Närliggande55
SammanfattningThe Moving Average model of order q — written MA(q) — expresses the current value of a time series as a linear combination of the current and past random shocks (innovations). Unlike the AR model which uses lagged values of the series itself, the MA model uses lagged error terms, making it well-suited for capturing short-lived disturbances that dissipate over q periods.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGateJämför metoder: Moving Average Model · Vector Autoregression. Hämtad 2026-06-15 från https://scholargate.app/sv/compare