Wada, Tatsuma (2011): On the Correlations of Trend-Cycle Errors. Published in: Economics Letters , Vol. 116, No. 3 (September 2012): pp. 396-400.
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Abstract
This note provides explanations for an unexpected result, namely, the estimated parameter of the correlation coefficient of the trend shock and cycle shock in the state–space model is almost always (positive or negative) unity, even when the true variance of the trend shock is zero. It is shown that the set of the true parameter values lies on the restriction that requires the variance–covariance matrix of the errors to be nonsingular, therefore, almost always the likelihood function has its (constrained) global maximum on the boundary where the correlation coefficient implies perfect correlation.
Item Type: | MPRA Paper |
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Original Title: | On the Correlations of Trend-Cycle Errors |
Language: | English |
Keywords: | Trend–cycle decomposition; Unit-root; Maximum likelihood |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 41754 |
Depositing User: | Tatsuma Wada |
Date Deposited: | 07 Oct 2012 23:27 |
Last Modified: | 29 Sep 2019 08:42 |
References: | Fuller, W.A., 1996. Introduction to Statistical Time Series. John Wiley & Sons, Inc. Morley, J.C., Nelson, C.R., Zivot, E., 2003. Why are Beveridge–Nelson and unobserved-component decompositions of GDP so different? Review of Economics and Statistics 85, 235–243. Morley, J.C., Panovska, I., Sinclair, T.M., 2011. A likelihood ratio test of stationarity based on a correlated unobserved components model, RPF Working Paper 2008- 11, George Washington University. Perron, P., Wada, T., 2009. Let’s take a break: trends and cycles in US real GDP. Journal of Monetary Economics 56 (6), 749–765. Tanaka, K., 1996. Time Series Analysis. John Wiley & Sons, Inc. Watson, M., 1986. Univariate detrending methods with stochastic trend. Journal of Monetary Economics 18, 49–75. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/41754 |