Measuring the German Output Gap Using Unobserved Component Models
نویسنده
چکیده
2 Annual and quarterly data on German GDP are decomposed into a nonstationary trend, a stationary cycle and a seasonal component using Kalman filtering and smoothing techniques. The computed trend components of the unobserved component models are then used to calculate annual and quarterly output gap measures for the German economy.
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