Vietnam; Bayesian Estimation of Output Gap
The paper constructs a new output gap measure for Vietnam by applying Bayesian methods to a two-equation AS-AD model, while treating the output gap as an unobservable series to be estimated together with other parameters. Model coefficients are easily interpretable, and the output gap series is consistent with a broader analysis of economic developments. Output gaps obtained from the HP detrending are subject to larger revisions than series obtained from a suitably adjusted model, and may be misleading compared to the model-based measure.
|Date of creation:||01 Jun 2010|
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- Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999.
"Statistical algorithms for models in state space using SsfPack 2.2,"
Royal Economic Society, vol. 2(1), pages 107-160.
- Koopman, S.J.M. & Shephard, N. & Doornik, J.A., 1998. "Statistical Algorithms for Models in State Space Using SsfPack 2.2," Discussion Paper 1998-141, Tilburg University, Center for Economic Research.
- Ozbek, Levent & Ozlale, Umit, 2005. "Employing the extended Kalman filter in measuring the output gap," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1611-1622, September.
- Tom Doan, "undated". "RATS programs to replicate Ozbek and Ozlale state space model with time-varying coefficients," Statistical Software Components RTZ00128, Boston College Department of Economics.
- Shekhar Aiyar & Ivan Tchakarov, 2008. "Much Ado About Nothing? Estimating the Impact of a U.S. Slowdown on Thai Growth," IMF Working Papers 08/140, International Monetary Fund. Full references (including those not matched with items on IDEAS)
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