A multivariate unobserved components model of cyclical activity
AbstractThis paper presents results from the estimation of a multivariate unobserved components model of cyclical activity. The model is motivated by a desire to let the data speak as much as possible, and hence to avoid imposing ad hoc and unjustifiable assumptions about trends and cycles. Estimated over the period 1970:1 to 1999:3 via the Kalman filter and maximum likelihood, the model identifies a common, trend-reverting component to real output, unemployment and capacity utilisation. The structure of the model allows an interesting factor interpretation to be put on the estimate of the output gap. These estimates are consistent with priors, but there is no consistent match to any one simple smoother such as the HP filter.
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Bibliographic InfoPaper provided by Reserve Bank of New Zealand in its series Reserve Bank of New Zealand Discussion Paper Series with number DP2000/04.
Date of creation: Jan 2000
Date of revision:
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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