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Table 8 IV results on the effect of education on different occupations and sectors

From: Education and allocation of skills in Tunisia: evidence from an education reform

  Public admin Public company Private Tunisiancompany Multinat All
Company Director 0.00491 0.00137 0.00313 0.00053 0.0103
  (0.00067)*** (0.00039)*** (0.00076)*** (0.00033) (0.0011)***
  [0.006] [0.002] [0.009] [0.002] [0.020]
Natural Scientist -0.00048 0.00019 -0.00014 -0.000059 -0.000078
  (0.00047) (0.00029) (0.00044) (0.000221) (0.000779)
  [0.003] [0.001] [0.004] [0.0009] [0.010]
Other Scientist 0.00228 0.00011 0.00122 0.00022 0.00498
  (0.00046)*** (0.00019) (0.00034)*** (0.00015) (0.00071)***
  [0.004] [0.0006] [0.003] [0.0005] [0.010]
Natural ScienceTechnician 0.00027 0.00024 0.00058 -0.00024 0.00059
  (0.00051) (0.00039) (0.00046) (0.00022) (0.00087)
  [0.004] [0.002] [0.005] [0.001] [0.015]
Other Technician 0.00154 0.00063 0.00179 -0.00000011 0.00397
  (0.00061)** (0.00026)** (0.00053)*** (0.00019530) (0.00093)***
  [0.006] [0.001] [0.005] [0.0009] [0.016]
Secretary 0.0078 0.00109 0.00332 0.00048 0.0129
  (0.0011)*** (0.00049)** (0.00069)*** (0.00026)* (0.0014)***
  [0.02] [0.003] [0.008] [0.001] [0.036]
Receptionist 0.00075 0.00091 0.00146 0.00027 0.00397
  (0.00046) (0.00028)*** (0.00035)*** (0.00014)** (0.00069)***
  [0.003] [0.001] [0.003] [0.0005] [0.009]
  1. Coefficients for grades completed in OLS and 2SLS regressions of working in different occupations and sectors on grades completed and a birth cohort polynomial. Outcome variables are dummy variables taking value one if the individual works in the respective occupation and sector and zero otherwise (i.e. the first cell uses a dummy with value one for individuals working as company directors in the public sector and zero for the rest). 2SLS estimates use reform exposure as instrument. All estimates use the census data. The figures in square brackets show the proportion of the workforce in each occupation in each sector. Robust standard errors in parenthesis. Signif. codes: 0.01 ‘***’ 0.05 ‘**’ 0.1 ‘*’.