Page 196 - Contributed Paper Session (CPS) - Volume 4
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CPS2173 Felicien Donat Edgar Towenan Accrombessy et al.
                      In Benin, the financing of the school is essentially the responsibility of the
                  State and its partners in development. However, households contribute to the
                  education  of  their  children  through  enrollment  in  private  schools  that  are
                  growing in urban areas.

                      b.  Primary school performance by location: A principal components
                         analysis
                      We observe strong positive relationship between the indicators related to
                  access to school and negative relationship between these variables and the
                  dropout ratios  and the percentages of qualified teachers. More than  three
                  quarters of the variance (75.8 percent) of the total information are explained
                  by the three first axes. The first four axes, with eigenvalues greater than unity,
                  account  for  82.2%  of  the  information.  We  notice  that  there  are  positive
                  correlations  with  the  indicators  of  the  quality  of  teachers  and  negative
                  correlations with the indicators of school access and success to primary school
                  grade 6 completion exam. The output allowed to categorize the municipalities
                  in  four  distinct  profiles  as  shown  in  the  figure  below,  and  exploit  this
                  information for the regression analysis.

                  Figure 3: Factorial map of the Communes

























                  Source:  Author’s  calculations,  using  Ministry  of  primary  education
                  administrative data

                      c.  Model estimation and interpretations
                      The results of the estimation show that inter-school variance represents
                  63.9 % of the total variance of the final pre and post-test scores in 2004. This
                  variance is large and significantly different from zero (p-value <0.001). Also,
                  for the 2014 data, the inter-school variance represents more than half of the

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