Page 17 - Invited Paper Session (IPS) - Volume 2
P. 17

IPS178 Sana Antoine S. J.
                The influence of each component on the headline inflation is simply the
            product of its weight by its year-on-year change. The link between imported
            inflation and this approach comes from the fact that prices in some of the
            sectors are exclusively determined by the outside world, such sectors include
            energy  and  food  items.  Consequently,  a  first  assessment  of  the  impact  of
            imported inflation can be made by computing the share of volatility in CPI due
            to these components.
                Furthermore,  an  alternative  for  constructing  a  core  CPI  measure  is  to
            exclude the “external” items from headline CPI and re-weight the remaining
            items on a prorata basis (exclusion method).The new core price level includes
            goods 1 to m, and fully excludes goods m+1 to n. The denominator rescales
            the  weights  for  commodities  1  to  m  and  commodities  m+1  to  n  are  re-
            assigned to have weights zero.

                                       
                                   ∑       × 100
                                   =1   0
                           P t core  =
                                        
                                        ∑ 
                                            
                                        =1
            Where m≤n
                Several other methods are used to compute core inflation: Trimmed mean,
            principal component analysis, volatility weights, and permanent and variable
                                 4
            exclusion approaches .The exclusion method is the most common approach
            (used by several Central Banks) due to its simplicity. For the case of Lebanon,
            a core CPI excluding Energy and Food has been computed and applied to the
            CPI series calculated by the Central Administration of Statistics (CAS) since
            2008. It excludes both Food and Energy categories (with a weight of 31.8%)
            from the CPI index.





















            4  A detailed presentation of these methods can be found in an IMF Staff paper written by
            Mick Silver (check references).
                                                                 4 | I S I   W S C   2 0 1 9
   12   13   14   15   16   17   18   19   20   21   22