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移动平均(MA)模型×向量自回归 (VAR)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19701980
提出者Box and JenkinsChristopher A. Sims
类型Linear time series modelMultivariate time-series model
开创性文献Box, 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 ↗
别名MA model, MA(q) process, moving-average process, Box-Jenkins MAVAR, VAR model, vector autoregressive model, multivariate autoregression
相关55
摘要The 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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  3. PUBLISHED

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ScholarGate方法对比: Moving Average Model · Vector Autoregression. 于 2026-06-15 检索自 https://scholargate.app/zh/compare