Fresh perspectives on unobservable variables: Data decomposition of the Kalman smoother
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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- Alejandro Justiniano & Bruce Preston, 2006. "Can Structural Small Open Economy Models Account For The Influence Of Foreign Disturbances?," CAMA Working Papers 2006-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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- Michael Kirker, 2010. "What drives core inflation? A dynamic factor model analysis of tradable and nontradable prices," Reserve Bank of New Zealand Discussion Paper Series DP2010/13, Reserve Bank of New Zealand. Full references (including those not matched with items on IDEAS)
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