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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

1999 respectively. It further depreciated to N128.99 between 2002 and 2005, and later<br />

appreciated to 126.30 between 2005 and 2008.<br />

4. Methodology <strong>of</strong> the Study<br />

4.1 Data Sources<br />

The data employed <strong>in</strong> this <strong>in</strong>vestigation were obta<strong>in</strong>ed ma<strong>in</strong>ly from the follow<strong>in</strong>g<br />

sources.<br />

(i) Central Bank <strong>of</strong> Nigeria Statistical Bullet<strong>in</strong>, Golden Jubilee Edition, 2008.<br />

(ii) Central Bank <strong>of</strong> Nigeria Annual Reports and Statement <strong>of</strong> Accounts for<br />

various years.<br />

4.2 Method <strong>of</strong> Data Analysis<br />

The empirical analysis is based on the traditional polynomial distributed lag model that<br />

estimates the delayed effects <strong>of</strong> exchange rate changes over the period 1986 – 2008. In<br />

us<strong>in</strong>g this model, the current and lagged exchange rate impact was estimated by<br />

employ<strong>in</strong>g time series data sets on the exchange rate and the imports <strong>of</strong> N<strong>in</strong>e Nigerian<br />

product groups at the level <strong>of</strong> Standard International Trade Classification (SITC). The list<br />

<strong>of</strong> these produce groups is provided <strong>in</strong> table 2 <strong>in</strong> the appendix.<br />

4.3 Model Specification<br />

The model chosen for the empirical exam<strong>in</strong>ation <strong>of</strong> the impact <strong>of</strong> exchange rate changes<br />

is a polynomial distributed lagged model that def<strong>in</strong>es imports as a function <strong>of</strong> lagged<br />

exchange rates. The model takes the follow<strong>in</strong>g specific form.<br />

IMP t – a0 + �bi EXCRt-i + �T + Ut ………………….. (1)<br />

n<br />

i=o<br />

Where IMPt is the import demand for the different groups <strong>of</strong> products at time t, ao is a<br />

constant, bi‘s are the lagged coefficients <strong>of</strong> the nom<strong>in</strong>al exchange rate distributed over<br />

zero to n years, EXCRt-i def<strong>in</strong>es the real exchange variable lagged by t-i years, �<br />

represents the trend related coefficient, T is the time trend, and Ut is the stochastic term.<br />

The apriori expectation is that depreciation <strong>in</strong> the value <strong>of</strong> the domestic currency will<br />

dampen demand for import by mak<strong>in</strong>g these importable relatively more expensive for the<br />

domestic buyers.<br />

The model chosen for the study has two specific advantages.<br />

(i) By provid<strong>in</strong>g <strong>in</strong>formation on the slop <strong>of</strong> the distributed lag, this model<br />

represents an improvement over the l<strong>in</strong>ear regression. The shape <strong>of</strong> the<br />

distributed lag facilitates identification <strong>of</strong> the pattern, if any, <strong>in</strong> the time<br />

related effects <strong>of</strong> the exchange rate<br />

COPY RIGHT © 2011 Institute <strong>of</strong> <strong>Interdiscipl<strong>in</strong>ary</strong> Bus<strong>in</strong>ess <strong>Research</strong> 225<br />

JANUARY 2011<br />

VOL 2, NO 9

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