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Fresh perspectives on unobservable variables: Data decomposition of the Kalman smoother

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Macroeconomics makes extensive use of concepts for which there are no observed data. Empirical estimates of such unobservable variables - core inflation is one example - have to be estimated from observed data. The data decomposition tool helps identify the contribution of each piece of observed data to the estimate of the unobservable variable.

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  • Nicholas Sander, 2013. "Fresh perspectives on unobservable variables: Data decomposition of the Kalman smoother," Reserve Bank of New Zealand Analytical Notes series AN2013/09, Reserve Bank of New Zealand.
    • Handle: RePEc:nzb:nzbans:2013/09
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    1. Chung, Hess & Fuentes-Albero, Cristina & Paustian, Matthias & Pfajfar, Damjan, 2021. "Latent variables analysis in structural models: A New decomposition of the kalman smoother," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).

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