Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/71298
Author(s): Álvaro Aguiar
Manuel Mota Freitas Martins
Title: Growth Cycles in XXth Century European Industrial Productivity: Unbiased Variance Estimation in a Time-varying Parameter Model (FEP Working Paper Nº 144, Faculdade de Economia da Universidade do Porto, Maio 2004)
Issue Date: 2004
Abstract: This note applies the median unbiased estimation of coefficient variance,proposed by Stock and Watson (1998), to the extraction of the time-varying trend growth rate of industrial productivity in fifteen European countries, over most of the XXth Century, by means of an unobservable components univariate decomposition. In addition to the description of the procedure, this illustration is particularly useful in explaining why the method is especially appropriate for comparison of trends growth rates extracted from time series with diverse degrees of variability.
Subject: Economia, Economia e gestão
Economics, Economics and Business
URI: http://hdl.handle.net/10216/71298
Document Type: Trabalho Académico
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEP - Trabalho Académico

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