Prior Selection for Vector Autoregressions
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Vector autoregressions (VARs) are flexible time series models that can capture complex dynamic interrelationships among macroeconomic variables. However, their dense parameterization leads to unstable inference and inaccurate out-of-sample forecasts, particularly for models with many variables. A
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美国国家经济研究局创建时间：
2012-10-01
