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CPS1137 Mamadou Youry SALL





                                    Indicators of schooling development
                                             Mamadou Youry SALL
                    Researcher at Studies and Research Unit of Economic Sciences and Management, Gaston
                                        Berger University, Saint-Louis, Senegal

                  Abstract
                  In Social Science, the indicators are often built empirically (Unesco, 1974). That
                  is,  the  quality  and  quantity  of  the  data  determines,  in  this  field  also,  the
                  construction  of  indicators  and  their  robustness.  Because  of  insufficient
                  information, one often proceeds by approximation to find the parameters of
                  the  theoretical  distribution  law.  This  also  holds  for  education.  The  results
                  obtained in this way should be readjusted when one has more information.
                  One  cannot,  for  example,  continue  to  use  the  gross  rate  of  admission  or
                  schooling when the age distribution of pupils exists. It is now unacceptable to
                  find in some scientific publications a rate of schooling over hundred percent
                  when we are sure that there are children out of school!
                      Such indicators, even if they are useful for an international comparability,
                  are mathematically not very robust and may not correspond to local reality.
                  That  is,  they  would  not  correspond  to  the  national  needs  for  planning
                  statistics. In the following, we propose another estimator to give the number
                  of children registered at school by generation (children having the same age).
                  Considering the quality of the educational data existing now in a great number
                  of countries, one can achieve this goal with more statistical robustness. We
                  have just to find the statistical law, which would generate these data in order
                  to find their parameters. Once these are found, it will be easy to represent
                  more accurately the reality studied and to better plan for educational policy.

                  Keywords
                  Statistics; estimator; education; rate; access

                  1.  Introduction
                      With the UN Sustainable Development Goal 4 (SDG4): “Ensure inclusive
                  and equitable quality education and promote lifelong learning opportunities
                  for all by 2030”, after the UNESCO goal: “Education for All (EFA) by 2015”, it
                  become  necessary,  for  the  countries  that  are  not  yet  reach  the  universal
                  schooling, which is the case of most African ones, to conduct a continuous
                  assessment for determining the level of educational development. That is to
                  know the scale of the effort to be furnished for that purpose. In other words,
                  one  tries  in  these  countries  to  know  how  the  schooling  level  evolves  by
                  generation.

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