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CPS1284 Rabeh M.
             Non -     1.363**              2.378***              3.331**
             refugees    *                                          *
                      (0.0154)              (0.0107)              (0.0133
                                                                    )
             difference        -             -0.144***              -
                       0.236***                                   0.251**
                                                                    *
                      (0.0238)              (0.0157)              (0.0171
                                                                    )
             explained        -             -0.0345***              -
                       0.197***                                   0.103**
                                                                    *
                      (0.0176)              (0.0117)              (0.0100
                                                                    )
             unexplained      -0.0390        -0.110***              -
                                                                  0.148**
                                                                    *
                      (0.0249)              (0.0156)              (0.0180)

              General        -0.274***    0.0343    -0.05***    0.0724    -0.036***    -0.255
             characteristic
             s
                             (0.0163)    (0.242)    (0.0107)    (0.153)    (0.00960)    (0.182)

             Industry        0.0467***    -0.0411*    -0.00164    0.0371***    -0.059***    0.0102

                             (0.0122)    (0.0215)    (0.00706)    (0.0137)    (0.00745)    (0.0163)

             Occupation      0.0311***    -0.00222    0.022***    -0.0344    -0.00739    -0.0857**

                             (0.00873)       (0.0526)    (0.00548)      (0.0331)    (0.00587)       (0.0383)

             Constant                -0.0299               -0.185                0.182

                                     (0.247)               (0.157)               (0.185)


              Observations    17,264   17,264   17,264   17,264   17,264   17,264   17,264   17,264   17,264
                Standard errors in parentheses

              *** p<0.01, ** p<0.05, *
                   p<0.1

                The  quantile  decomposition  results  in  Table  2.  The  results  of  such
            decomposition reveal some important findings. First, the wage differentials are
            found to be much larger at higher and  lower deciles than at the middle part
            of wage distribution. The overall wage gap at the 10th and 90th  percentile is
            respectively 23.60% and 25.1%, compared with 14.4% at the median. Second,
            the results show that only the composition effect is found to drive the overall
            wage gap at the first quantile; no significant effect of the discrimination part
            is observed at this part of distribution. More specifically at the first quantile,
            the general characteristics variables are found to be the main drivers of  the
            wage gap with being 27.4%. The figure is different when turning to the second
            quantile (median); at this part of the distribution the discrimination effect is
            found  to  be  the  main  driver  of  the  wage  gap  (11%  against 3.45%  for  the
            composition effect). at this quantile, the Industry dummies  contribute to this
            unexplained  part  by  -3.71%.  The  difference  in  magnitude  between  the
            discrimination and composition effects is narrowing at the end of the wage
            distribution with being 10.3% for the composition effect and 14.8% for the



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