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IPS102 Peter V. et al.
                or not including non-profit institutions serving households (NPISHs), are
                “adjusted”  to  exclude  items  that  do  not  concern  private  households
                resident  in  a  country,  such  as  NPISHs  if  combined  with  results  of  the
                household  sector,  and  the  income  and  consumption  of  institutional
                households.  In  the  second  step,  at  the  most  detailed  level  of  available
                transaction  and  consumption  categories,  micro  variables  are  identified
                that best match the various national accounts items. Different data sources
                may be selected in this step, depending on which sources provide the best
                link for the various income and consumption items. In the third step, the
                micro  data are scaled to match  the “adjusted” national accounts totals
                from step 1. Furthermore, imputations are made for items that typically fall
                outside the scope of micro data. This may relate to items that are specific
                to the system of national accounts (e.g., imputed items such as financial
                intermediation  services  indirectly  measured  (FISIM),  investment  income
                disbursements, and social transfers in kind), but also to items that are likely
                to  be  underreported  or  completely  missing  from  the  micro  data  (e.g.,
                income  from  the  underground  economy  and  illegal  activities).  Finally,
                households  are  clustered  into  the  various  household  groupings
                distinguished,  and  results  are  derived  for  the  main  aggregates  and
                distributional measures.

            Figure 1: Step by step approach for the estimation of distributional information
                    Step 1 - Adjust national accounts totals


                    Step  2  -  Determine  relevant  variables  from  micro  data  sources  in
                    relation to the national accounts variables


                    Step 3 - Impute for missing elements and scale the micro data to the
                    adjusted national accounts totals


                    Step 4 - Clustering households


                    Step 5 - Derive relevant indicators for the household groups


                10. Some countries have already started to publish distributional results
                on the basis of the methodology developed by the EG DNA (Australia,
                Canada, France, the Netherlands, New Zealand, Slovenia and the United
                Kingdom). In the meantime, the expert group continues to work on further
                improvements  in  order  to  arrive  at  a  more  robust  methodology  thus
                motivating more countries to publish results. In this respect, apart from
                deciding  on  the  methodology  to  allocate  social  transfers  in  kind  to

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