A Closed Form Multivariate Linear Filter

Francis Vitek

No 2018/275, IMF Working Papers from International Monetary Fund

Abstract: This paper considers the problem of jointly decomposing a set of time series variables into cyclical and trend components, subject to sets of stochastic linear restrictions among these cyclical and trend components. We derive a closed form solution to an ordinary problem featuring homogeneous penalty term difference orders and static restrictions, as well as to a generalized problem featuring heterogeneous penalty term difference orders and dynamic restrictions. We use our Generalized Multivariate Linear Filter to jointly estimate potential output, the natural rate of unemployment and the natural rate of interest, conditional on selected equilibrium conditions from a calibrated New Keynesian model.

Keywords: WP; Closed form; Multivariate linear filter; New Keynesian model; Potential output; Natural rate of unemployment; Natural rate of interest; gap estimate; objective function; estimates to parameter perturbation; parameter estimate; maximization problem; inflation gap estimate; equilibrium value; interest rate gap; estimation Results; Unemployment rate; Output gap; Central bank policy rate; Neoclassical theory; Global (search for similar items in EconPapers)
Pages: 24
Date: 2018-12-10
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