Table 4. Distribution of Employees by Education.
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Years of Schooling
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No. of Siblings <9 9 12 >12
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0-1 6.18 14.61 40.73 38.48
2 8.21 19.57 33.09 39.13
3 8.84 24.39 36.59 30.18
>3 19.34 23.43 33.96 23.27
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Results
Training Incidence and Intensity
We estimate a bi-probit model for OJT and OFFJT incidence and a tobit model for OJT and OFFJT intensity, after pooling all available observations over the period 1998-2001 and including in the vector Y in (1) and (2) gender, a third order polynomial in age, firm dummies, and a linear trend and quadratic trend, which capture the influence of aggregate effects.[FN14] We present our estimates in Tables 5 and 6, which are organized in four columns. The first two columns treat years of education as exogenous, and the latter two test the exogeneity of education using the procedure devised by Blundell and Smith (1986).
Table 5. Bivariate Probit Estimates of Training Incidence, Full Sample, 1998-2001. (dependent variables: OJT and OFFJT incidence; robust standard errors in parentheses)
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Years of Education Treated as Testing for Exogeneity of
Exogenous Education
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Variable OJT OFFJT OJT OFFJT
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Sex -0.160 [FNaaa1] 0.092 [FNa1] -0.031 0.020
(.047) (.050) (.107) (.110)
Age 0.305 [FNaaa1] 0.213 [FNaa1] 0.397 [FNaaa1] 0.141
(.102) (.099) (.133) (.128)
Age2 -0.010 [FNaaa1] -0.005 [FNa1] -0.013 [FNaaa1] -0.003
(.003) (.003) (.004) (.003)
Age3 [FNa1] 0.001 [FNaaa1] 0.000 [FNa1] 0.001 [FNaaa1] 0.000
10
(.000) (.000) (.000) (.000)
Tenure in 1998 -0.009 0.022 [FNaaa1] -0.010 0.021
[FNaa1]
(.007) (.008) (.008) (.008)
Previous -0.013 [FNaa1] 0.005 -0.013 [FNa1] 0.004
Experience in
1998
(.006) (.006) (.007) (.007)
Years of -0.055 [FNaaa1] 0.032 [FNaaa1] -0.140 [FNaa1] 0.079
Education
(.008) (.009) (.069) (.068)
First Step -- -- 0.084 -0.048
Residuals
(.068) (.068)
<<rho>> 0.334 [FNaaa1] 0.326 [FNaaa1]
(.025) (.022)
Observations 5,525 5,525 5,465 5,465
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Notes: Each regression includes firm dummies, family background variables, and a linear and a quadratic trend. <<rho>> = correlation between training error terms. Sex: men = 1, women = 0.
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