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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

Table 1: Dickey-Fuller (DF)/Augmented Dickey-Fuller (ADF) Test for Unit Root<br />

JANURAY 2011<br />

VOL 2, NO 9<br />

Augmented Dickey-Fuller (ADF) Test<br />

Variables at Level Variables at 1 st Difference<br />

Without Trend & Without Trend &<br />

Trend (k) Intercept (k) Trend (k) Intercept (k)<br />

Ln NYt -1.619 (0) -2.202 (0) -4.554* (1) -5.375* (1)<br />

Ln CFt -1.679 (0) -1.736 (0) -4.542* (1) -5.535* (1)<br />

Ln ELFt -0.502 (0) -2.407 (0) -6.037* (0) -5.987* (0)<br />

Ln HCt -0.129 (0) -1.692 (0) -4.627* (0) -4.572* (0)<br />

Ln MXt -1.9015(0) -2.057 (0) -5.348* (0) -5.879* (0)<br />

Ln SMXt -1.997 (0) -2.382 (0) -5.525* (0) -5.575* (0)<br />

Ln PXt -1.889 (0) -2.231 (0) -5.777* (1) -5.683* (1)<br />

Ln CMt -1.156 (0) -2.042 (0) -5.558* (0) -5.836* (0)<br />

Notes: The null hypothesis is that the series is non-stationary, or conta<strong>in</strong>s a unit root. The rejection <strong>of</strong> null<br />

hypothesis for ADF test is based on the MacK<strong>in</strong>non critical values and numbers <strong>in</strong> parentheses <strong>in</strong>dicate number<br />

<strong>of</strong> lags (k) based on Schwarz Information Criterion (SIC).<br />

* Indicates the rejection <strong>of</strong> the null hypothesis <strong>of</strong> non-stationary at 5% significance level.<br />

When the ADF test is conducted at first difference <strong>of</strong> each variable, the null hypothesis<br />

<strong>of</strong> non-stationary is easily rejected at 5% significance level as shown <strong>in</strong> Table 1. This is<br />

consistent with some previous studies 4 which demonstrated that most <strong>of</strong> the macroeconomics<br />

and f<strong>in</strong>ancial series are expected to conta<strong>in</strong> unit root and thus <strong>in</strong>tegrated <strong>of</strong> order one, I(1).<br />

Therefore, variables are <strong>in</strong>tegrated <strong>of</strong> order one, and a higher order <strong>of</strong> differenc<strong>in</strong>g is not<br />

required to perform. S<strong>in</strong>ce the variables are <strong>in</strong>tegrated <strong>of</strong> same order, I(1) , so, multivariate<br />

co<strong>in</strong>tegration test for long run analysis could be conducted.<br />

5.2 Empirical Results for Short and Long Run Dynamics<br />

5.2.1 Long Run Dynamics<br />

The results <strong>of</strong> the Johansen‘s co<strong>in</strong>tegration test for Net Income, Physical Capital,<br />

Labor, Human Capital and components <strong>of</strong> total Exports (Manufactur<strong>in</strong>g exports, semimanufactur<strong>in</strong>g<br />

exports and primary exports) us<strong>in</strong>g both the �trace and the � max statistics are<br />

given <strong>in</strong> Table 2. Start<strong>in</strong>g with the � max test results reported <strong>in</strong> Table 2, the null hypotheses r =<br />

0 and r � 1 (no co<strong>in</strong>tegration) can be rejected <strong>in</strong> favor <strong>of</strong> r = 1 and r = 2 respectively, <strong>in</strong>dicates<br />

the presence <strong>of</strong> two co<strong>in</strong>tegrat<strong>in</strong>g relationships between NYt, Kt, Lt, Ht, CMt, MXt, SMXt, and<br />

PXt. For the trace test results, the null hypotheses r = 0, r � 1, r � 2, and r � 3 can be rejected <strong>in</strong><br />

favor <strong>of</strong> r � 1, r � 2, r � 3 and r � 4 implies that there are at least four co<strong>in</strong>tegrat<strong>in</strong>g vectors<br />

between NYt, Kt, Lt, Ht, CMt, MXt, SMXt, and PXt at 5% level <strong>of</strong> significance.<br />

4 See for example Ahmad et al. (2004), Akbar .M and Z. F.Naqvi (2000), Ahmad at al. (2000)<br />

COPY RIGHT © 2011 Institute <strong>of</strong> <strong>Interdiscipl<strong>in</strong>ary</strong> Bus<strong>in</strong>ess <strong>Research</strong> 453

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