Comparing Semi-Structural Methods to Estimate Unobserved Variables: The HPMV and Kalman Filters Approaches

Economists often seek to estimate unobserved variables, representing "equilibrium" or "expected" values of economic variables, as benchmarks against which observed, realised values of these variables may be evaluated. Such comparisons are often used as economic policy indicators,...

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Bibliographic Details
Main Author: Boone, Laurence (Author)
Format: Electronic eBook
Language:English
Published: Paris OECD Publishing 2000
Series:OECD Economics Department Working Papers no.240
Subjects:
Online Access:DE-862
DE-863
Summary:Economists often seek to estimate unobserved variables, representing "equilibrium" or "expected" values of economic variables, as benchmarks against which observed, realised values of these variables may be evaluated. Such comparisons are often used as economic policy indicators, for example the output gap, as measured by the ratio of actual to potential GDP, is commonly used as a measure of excess demand in assessing inflation pressures. To estimate these unobserved variables, a popular approach is the so-called semi-structural approach which includes: the Hodrick Prescott multivariate filter (developed by Laxton and Tetlow, 1992) and the Kalman filter (see, among others Harvey, 1992 and Cuthberson et al., 1992). This paper shows that the two approaches are closely linked, and specifically, it explains how to reproduce theHodrick Prescott multivariate filter using the Kalman filter. Being able to do so has at least two possible advantages. First, while the traditional HPMV filter ...
Physical Description:1 Online-Ressource (27 Seiten) 21 x 29.7cm.

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