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VC - A Method For Estimating Time-Varying Coefficients in Linear Models

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  • Schlicht, Ekkehart

Abstract

This paper describes a moments estimator for a standard state-space model with coefficients generated by a random walk. This estimator does not require that disturbances are normally distributed, but if they are, the proposed estimator is asymptotically equivalent to the maximum likelihood estimator.

Suggested Citation

  • Schlicht, Ekkehart, 2006. "VC - A Method For Estimating Time-Varying Coefficients in Linear Models," Discussion Papers in Economics 61656, University of Munich, Department of Economics.
    • Handle: RePEc:lmu:muenec:61656
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    More about this item

    Keywords

    time-series analysis; linear model; state-space estimation; time-varying coefficients; moments estimation; adaptive estimation; random walk; Kalman filter;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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