Abstract
Rennison (Comparing alternative output gap estimations: a Monte Carlo approach, 2003) has provided simulation-based evidence showing that the joint use of extended multivariate filters and structural vector autoregression models is optimal for estimating potential output. We use this approach to estimate the two components of potential GDP: the full-employment labour input and trend labour productivity. This decomposition is useful for identifying sources of fluctuations in potential output. It reveals, for example, that the vigorous growth rate of U.S. potential GDP recorded during the second half of the 1990s is attributable to a fall in the structural rate of unemployment and a marked upswing in trend productivity growth.
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Gosselin, MA., Lalonde, R. An Eclectic Approach to Estimating U.S. Potential GDP. Empirical Economics 31, 951–975 (2006). https://doi.org/10.1007/s00181-006-0063-8
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DOI: https://doi.org/10.1007/s00181-006-0063-8