Page 22 - Invited Paper Session (IPS) - Volume 2
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IPS178 Sana Antoine S. J.
                  increase in the price of oil leads to an increase of 0.065% in inflation, a very
                  strong result given the highly volatile nature of the Brent price level.
                      In addition to the headline CPI, we performed the same regression on a
                  measure  of  the  “core  CPI”  which  excludes  Food  and  Energy  items.  Such
                  regression allows us to check that, when considering the core CPI measure,
                  the impact of external variables is reduced.
                  Coefficients:
                                                           Estimate     Std. Error    t value      Pr(>|t|)
                  (Intercept)                         0.016152    0.004957   3.258       0.00148 **
                  diff(log(m3), lag = 12)      0.104585    0.054642   1.914        0.05813 .
                  diff(log(wair), lag = 12)     0.074915    0.030839   2.429       0.01669 *
                  diff(log(brent), lag = 12)   0.045214    0.005968   7.576      1.02e-11 ***
                  diff(log(exr), lag = 12)      -0.027909   0.025065   -1.113      0.26784
                  dummy                              0.069336   0.005625   12.326    < 2e-16 ***
                  ---
                  Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
                  Residual standard error: 0.01825 on 114 degrees of freedom
                  Multiple R-squared: 0.6828, Adjusted R-squared: 0.6689
                  F-statistic: 49.08 on 5 and 114 DF, p-value: < 2.2e-16

                      As expected, the elasticity of Brent decreases to 0.045 but this variable
                  remains very significant proving that the exclusion of the Food and Energy
                  items is not enough to eliminate the indirect effects of oil prices. Furthermore,
                  we notice that the coefficients for interest rates and money supply become
                  significant at the 5% and 10% levels respectively. In addition to that, their
                  elasticities are higher than the ones found for headline inflation meaning that
                  core  inflation  reflects  more  distinctly  the  impact  of  monetary  policy  than
                  headline inflation.

                   Measure                   Headline          Core 3 (excl. food & energy)

                   Δ(log(M3))                  0.3 %                      0.4 %
                   Δ (log(WAIR))               0.1 %                      0.9 %
                   Dummy                       26.6 %                    41.8 %
                   Δ(log(Brent))               31.5 %                    20.3 %
                   Δ(log(EXR))                 7.2%                       4.9 %
                                       Table 1: LMG measure of relative importance

                  Finally, the estimation of the LMG measures can be found in table 2, and the
                  following remarks could be made:
                        The Brent price explains more than 30% of the variation in the headline
                         CPI. When considering core CPI which excludes the energy item, this


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