A State Space Approach to Extracting the Signal From Uncertain Data
Alastair Cunningham,
Jana Eklund,
Chris Jeffery,
George Kapetanios and
Vincent Labhard ()
Journal of Business & Economic Statistics, 2009, vol. 30, issue 2, 173-180
Abstract:
Most macroeconomic data are uncertain—they are estimates rather than perfect measures of underlying economic variables. One symptom of that uncertainty is the propensity of statistical agencies to revise their estimates in the light of new information or methodological advances. This paper sets out an approach for extracting the signal from uncertain data. It describes a two-step estimation procedure in which the history of past revisions is first used to estimate the parameters of a measurement equation describing the official published estimates. These parameters are then imposed in a maximum likelihood estimation of a state space model for the macroeconomic variable.
Date: 2009
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Working Paper: A State Space Approach to Extracting the Signal from Uncertain Data (2009) 
Working Paper: A state space approach to extracting the signal from uncertain data (2007) 
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Persistent link: https://EconPapers.repec.org/RePEc:taf:jnlbes:v:30:y:2009:i:2:p:173-180
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DOI: 10.1198/jbes.2009.08171
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