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CPS1266 Saeed F. et al.


                                 Improving the quality of official statistics in
                                Iran’s manufacturing establishments statistics
                                         1
                            Saeed Fayyaz , Gholamhossein Mosalmani Nooshabadi     2
                                    1 Statistician on Transportations and ICT statistics
                                  2 Statistician on Manufacturing establishment statistics

                  Abstract
                  Official statistics refer to public information which is produced for the benefit
                  of the society and is funded by the state budget under the official or statistical
                                                1
                  programme.  Also,  in  GSBPM ,  quality  of  official  statistics  producing  by
                  statistical agencies has been highlighted significantly. Despite the fact that
                  data  quality  framework  has  different  dimensions  comprising  relevancy,
                  timeliness  and  punctuality,  coherence  and  comparability,  accessibility  and
                  clarity, this paper focused on accuracy and reliability aspect. Additionally, a
                  specific  case  study  on  manufacturing  establishments’  statistics  in  Iran  was
                  expanded.  Due  to  its  importance,  providing  consistent,  reliable  and  high
                  accuracy data has been one of the prominent targets of these sector. In order
                  to  improve  this  data  quality  aspect  in  these case,  a  practical software was
                  proposed  to help  statisticians  and  experts  in  NSOs .  Although  there  are a
                                                                     2
                  range of causes and factors that are significant in improving the reliability and
                  accuracy of data from data gathering to publishing, the proposed software
                  focus on the Editing and imputation stage in this process, specially macro
                  editing.  Presumably,  quality  of  the  gathered  data  from  the  surveys  or
                  establishments directly are just affected by technical editing in the process and
                  other pre-editing stages have trivial impact and not completely controllable
                  and improvable based on experts’ opinions. Additionally, this software can
                  obviate the data non-consistency by providing multi-dimensional insights and
                  comparable  data  of  each  establishment.  In  this  comprehensive  overview
                                                          3
                  different  dimensions  of  growth  e.g.  ISIC  activity  field,  provincial  and  sub-
                  provincial cutting level etc. was reflected. Remarkably, financial statements as
                  secondary  register-based  data  source  in  this  process  either  to  make
                  comparison or replacement with survey data will promote the accuracy was
                  considered is this software. These registered data source are available free in
                  stock market websites or received physically from Audit organizations. This
                  study  also  can  help  other  statistical  agencies  to  produce  higher  quality
                  statistics indifference the kind of activity or where they are located.




                  1  Generic Statistical Business Process Model (GSBPM)
                  2  National Statistics Organizations(NSOs)
                  3  International Standard of Industrial Classification (ISIC)
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