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Recursive Estimation in Econometrics

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Author Info
Stephen Pollock (Queen Mary, University of London)

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Abstract

An account is given of recursive regression and of Kalman filtering which gathers the important results and the ideas that lie behind them within a small compass. It emphasises the areas in which econometricians have made contributions, which include the methods for handling the initial-value problem associated with nonstationary processes and the algorithms of fixed-interval smoothing.

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File URL: http://www.econ.qmul.ac.uk/papers/doc/wp462.pdf
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Publisher Info
Paper provided by Queen Mary, University of London, Department of Economics in its series Working Papers with number 462.

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Date of creation: Jun 2002
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Handle: RePEc:qmw:qmwecw:wp462

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Related research
Keywords: Recursive regression; Kalman filtering; Fixed-interval smoothing; The initial-value problem;

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

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  1. Izquierdo, Segismundo S. & Hernández, Cesáreo & del Hoyo, Juan, 2006. "Forecasting VARMA processes using VAR models and subspace-based state space models," MPRA Paper 4235, University Library of Munich, Germany. [Downloadable!]
  2. Tesfaselassie, M.F. & Schaling, E. & Eijffinger, S.C.W., 2006. "Learning About the Term Structure and Optimal Rules for Inflation Targeting," Research Paper ERS-2006-058-F&A Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
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