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*If value of Atrace exceeds the critical value, we reject the null hypothesis and accept the alternative of more co- integrating vectors. Table 3. Results of Johansen co-integration tests.

Table 3 *If value of Atrace exceeds the critical value, we reject the null hypothesis and accept the alternative of more co- integrating vectors. Table 3. Results of Johansen co-integration tests.

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Mackinnon critical value for the prices in levels at 5% is -2.9130. MacKinnon critical value for the prices in first differences at 5% is - 2.9140. Table 1. Results of unit root test in levels and first differences.
Mackinnon critical value for the prices in levels at 5% is -2.9130. MacKinnon critical value for the prices in first differences at 5% is - 2.9140. Table 1. Results of unit root test in levels and first differences.
*AIC, HQIC and SBIC values are smallest at 1% significant level. Table 2. Lag selection-order criteria.
*AIC, HQIC and SBIC values are smallest at 1% significant level. Table 2. Lag selection-order criteria.
Source: Authors’ computation based on data from MoFA, 2010. *** indicates significance at the 1 percent level, ** indicates significance at the 5 percent level and * indicates significance at the 10 percent level. Dependent Variable: Accra Wholesale Price. Included observations: 71 after adjustment. Table 4. Co-integration regression results.
Source: Authors’ computation based on data from MoFA, 2010. *** indicates significance at the 1 percent level, ** indicates significance at the 5 percent level and * indicates significance at the 10 percent level. Dependent Variable: Accra Wholesale Price. Included observations: 71 after adjustment. Table 4. Co-integration regression results.
X (residual term) denotes the error correcting term. Dependent variable: First differenced Accra wholesale real price. Included observations: 70 after adjustments. Table 5. Error correction model results.
X (residual term) denotes the error correcting term. Dependent variable: First differenced Accra wholesale real price. Included observations: 70 after adjustments. Table 5. Error correction model results.
Table 6. Wald test results for market integration. markets in Cameroon and concluded that a weak integration exist in the markets and hence urban consumer price increase because there is bad information circulation between the various markets.
Table 6. Wald test results for market integration. markets in Cameroon and concluded that a weak integration exist in the markets and hence urban consumer price increase because there is bad information circulation between the various markets.
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EconomicsDevelopmentMarket efficiencyAgricultural Economics and Rural Development
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