K. Ludi: consumption behaviour in Zambia
22
Appendix B
Cointegration Unit Root Test
• H0: no cointegration (non-stationary residuals)
H1: cointegration (stationary residuals)
• Reject H0 if ADF ≤ critical value
Table 11: MacKinnon critical values for the ADF test (T = 31)
n |
Model |
% |
Φ∞ |
Φ1 |
Φ2 |
C(p) |
3 |
constant, no trend |
1 |
-4.2981 |
-13.79 |
-46.37 |
-4.79119 |
5 |
-3.7429 |
-8.352 |
-13.41 |
-4.02627 | ||
..............10............. |
...........-3.4518........ |
-6.241 |
-2.79 |
.......-3.65603....... | ||
3 |
constant, + trend |
1 |
-4.6678 |
-18.492 |
-49.35 |
-5.31567 |
5 |
-4.1193 |
-12.024 |
-13.13 |
-4.52083 | ||
10 |
-3.8344 |
-9.188 |
-4.85 |
-4.13583 |
Source: Own summary
• ADF = -4.282 (constant, no trend)
ADF = -4.234 (constant, + trend)
• ADF is statistically significant at a 5 per cent level of significance in the case of
‘constant, no trend’ and at a 10 per cent of significance in the case of ‘constant, +
trend’.
• Reject H0
• The residuals are stationary → there is cointegration
More intriguing information
1. Towards Learning Affective Body Gesture2. Tourism in Rural Areas and Regional Development Planning
3. Testing Gribat´s Law Across Regions. Evidence from Spain.
4. National curriculum assessment: how to make it better
5. The Prohibition of the Proposed Springer-ProSiebenSat.1-Merger: How much Economics in German Merger Control?
6. How we might be able to understand the brain
7. Optimal Tax Policy when Firms are Internationally Mobile
8. CURRENT CHALLENGES FOR AGRICULTURAL POLICY
9. The name is absent
10. Estimation of marginal abatement costs for undesirable outputs in India's power generation sector: An output distance function approach.