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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE
estimate the trade balance model correctly. Therefore, an econometric
method of vector auto regressions (VAR), not a conventional OLS,
should be employed. A VAR model and an impulse response function
would take the feedback effects into account.
In the preliminary stage, a set of unit-root tests must be carried out
to ensure that at least two of the variables in each of the two long-run
equations has a unit root. It’s foremost important for a model to carry
sound economic relevance, and not merely to satisfy specific
econometric properties. Should a variable have a unit root in the level
form, stationary is obtained usually by first-differencing. Such variable
is said to be I(1) in first differences. Co integration, a key element of this
process, is established if the variables are individually I(1), or at least
two or more of them are. See Hansen and Juselius (1995:1) for a
thorough description of the co integration procedure.
Further, a VAR in the level form is estimated for the export and for
the import equations separately. The VAR in this paper is in the
following format:
Z t=A 1Z t-1 + A 2Z t-2 + … + A pZ t-p + BX t + e t (3)
where, Z is a vector of n non-stationary variables, X – vector of
deterministic variables; e – vector of innovations.
The preliminary VARs are required to check the correct number of
lags in the model, to ensure that there is no autocorrelation in the error
terms, and that the residuals follow the pattern of a normal distribution.
With the right number of lags, a Johansen Co integration test is
performed to determine the number of co integrating equations. A
Vector Error Correction Model (VECM) is then estimated with the
previously obtained number of lags, which will present the long-run co
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