Abstract:
This article presents alternative output trend theories and discusses different estimations for Chile’s GDP, using quarterly data from 1986 to 2001. Among methods considered are the Hodrick-Prescott filter, Quadratic and Gaussian kernels, the wavelets filter, and structural vector autoregressive models (SVAR). Output trend estimates are very sensitive to idiosyncratic assumptions. However, the Hodrick-Prescott filter and SVAR models look more accurate for generating output gaps related to variables such as inflation. We also present confidence intervals for these two methodologies.
Journal Economía Chilena (The Chilean Economy) is edited by Klaus Schmidt-Hebbel
More articles in Journal Economía Chilena (The Chilean Economy) from Central Bank of Chile Contact information at EDIRC. Series data maintained by Claudio Sepulveda ().
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