A Closed Form Multivariate Linear Filter /
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 penalt...
| 第一著者: | |
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| フォーマット: | 雑誌 |
| 言語: | English |
| 出版事項: |
Washington, D.C. :
International Monetary Fund,
2018.
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| シリーズ: | IMF Working Papers; Working Paper ;
No. 2018/275 |
| オンライン･アクセス: | Full text available on IMF |
| 要約: | 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. |
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| 記述事項: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| 物理的記述: | 1 online resource (24 pages) |
| フォーマット: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| アクセス: | Electronic access restricted to authorized BRAC University faculty, staff and students |