Page 130 - Invited Paper Session (IPS) - Volume 1
P. 130

IPS102 Peter V. et al.
                      levels  which  do  not  match  their  income  levels.  For  more  information,
                      reference is made to Van de Ven et al. (2017), chapter 9.

                      Whatever the case, having a large negative saving rate for a substantial
                  period  of  time  is  not  sustainable,  and  may  indeed  lead  to  liquidity  and
                  solvency problems, as a consequence of which the relevant households cannot
                  manage their indebtedness anymore, need to look for debt negotiations, or
                  even  be  declared  bankrupt.  Extending  the  distributional  data  for  income,
                  consumption and saving with similar data on wealth could be very helpful in
                  analysing the results for the saving rates, as – disregarding investments in non-
                  financial  assets  (mainly  dwellings  and  assets  for  running  an  enterprise)  –
                  negative saving rates would have their counterpart in a run-down of financial
                  assets or the build-up of debt.

                  4.  Discussion and Way Forward
                      13. The above work of the EG DNA has much in common with the work of
                      the Distributional National Accounts (DINA) team, led by Thomas Piketty.
                      Apart from possible differences in the way micro-macro gaps are being
                      allocated  to  groups  of  households,  the  main  conceptual  differences
                      concern the target population (private households in EG DNA vs. adult
                      individuals in DINA); the unit of analysis (equivalized household results vs.
                      “equal-split”  and  “individualistic”  results);  and  the  income  definition
                      (household  (adjusted)  disposable  income  vs.  national  income).  More
                      details on the differences between the two approaches can be found in
                      Zwijnenburg (2017).
                      14. A lot has already been achieved, and more and more countries start to
                      disseminate distributional data according to the methodology of the EG
                      DNA. However, much more still needs to be done. The main objectives of
                      the EG DNA for the near future are as follows:
                         i. regular collection and publication of available results;
                         ii.  further  exploring  ways  to  improve  the  allocation,  to  household
                         groups,  of  the  gaps  between  the  totals  from  micro  data  and  the
                         national accounts totals;
                         iii.  development  of  a  centralised  method  for  countries  that  do  not
                         compile own estimates;
                         iv. draft a handbook with detailed guidance on the methodology for
                         compiling estimates;
                         v.  further  development  of  nowcasting  techniques  to  arrive  at  more
                         timely estimates; and
                         vi. include data on the distribution of wealth.
                      In relation to the last objective, the group intends to start looking into the
                  issue of wealth distribution, most probably in close cooperation with the ECB

                                                                    119 | I S I   W S C   2 0 1 9
   125   126   127   128   129   130   131   132   133   134   135