CONSTANTS DO NOT STAY CONSTANT BECAUSE VARIABLES ARE VARYING
Rasmus Kattai*
Working Papers of Eesti Pank
No 1/2007
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This paper focuses on the dynamic properties of error correction
models (ECM). It is shown that the absence of structural breaks in the
cointegrating vector does not necessarily imply that also all parameters
of the dynamic specification of the ECM are time invariant. In some
cases, depending on the data generating process of regressors, the intercept
has to be time varying in order to have the long run equilibrium of
a dynamic model independent of the growth rates of the variables out
of sample period, i.e. to satisfy the dynamic homogeneity condition. It
is found to be common when estimating ECMs on macroeconomic time
series of converging countries. Dynamic homogeneity can be achieved
by imposing the state dependent dynamic homogeneity restriction on the
intercept. Applying the restriction is illustrated by an empirical example
using Estonian data on real wages and labour productivity.
JEL Code: C32, C51
Key words: dynamic homogeneity, error correction models, forecasting
* I am grateful to Aurelijus Dabušinskas (Eesti Pank), Mark Knell (NIFU STEP), Dmitry Kulikov (Eesti Pank), John Lewis (De Nederlandsche Bank), Ard H.J. den Reijer (De Nederlandsche
Bank) and Karsten Staehr (Eesti Pank) for their useful comments and suggestions.
Comments made in the DNB's research seminar and in 62nd IAES conference are most acknowledged.
The author takes the responsibility for any errors and/or omissions. The research
is partially financed by the Estonian Science Foundation (ETF) grant project no. 6475.
Author's e-mail address: rkattai@epbe.ee
The views expressed are those of the author and do not necessarily represent the official views of Eesti Pank.
Contents
- 1. Introduction
- 2. Dynamic homogeneity condition
- 3. State dependent dynamic homogeneity restriction
- 4. Empirical application
- 5. Conclusions
- References
- Figures
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