Table 7
Establishment-level wage regressions, industry-sector models

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Establishment-level wage regressions, industry-sector models: Part 1
  Model 1 Model 2 Model 3
  coefficient standard error coefficient standard error coefficient standard error
Establishment characteristics  
Export (yes = 1) 1 0.120 * 0.018 0.035 * 0.016 0.045 * 0.016
Export x labour-intensive 0.001 0.029 -0.014 0.027 -0.240 0.025
Export x scale-based 0.140 * 0.029 0.080 * 0.026 0.049 ** 0.025
Export x product-differentiated 0.001 0.036 -0.015 0.033 -0.010 0.021
Export x science-based 0.036 0.046 0.013 0.041 -0.021 0.040
Foreign-controlled (yes = 1) 1 ... ... 0.165 * 0.012 0.148 * 0.012
Log of plant size (employment) ... ... 0.055 * 0.004 0.057 * 0.004
Log of capital-to-labour ratio ... ... 0.099 * 0.012 0.094 * 0.013
Multi-plant status (yes = 1) 1 ... ... 0.118 * 0.011 0.100 * 0.010
Metropolitan (yes = 1) 1 ... ... 0.105 * 0.010 0.090 * 0.011
Labour-intensive (yes = 1) 1 -0.142 * 0.021 -0.080 * 0.020 -0.047 * 0.019
Scale-based (yes = 1) 1 0.063 * 0.022 0.085 * 0.020 0.081 * 0.019
Product-differentiated (yes = 1) 1 0.044 0.028 0.086 * 0.027 0.051 ** 0.028
Science-based (yes = 1) 1 0.118 * 0.037 0.083 * 0.034 0.077 * 0.033
Worker characteristics  
Mean age ... ... ... ... 0.005 * 0.001
Mean education ... ... ... ... 0.032 * 0.003
Percent male ... ... ... ... 0.253 * 0.017
Percent non-visible-minority ... ... ... ... 0.015 0.034
Percent immigrant ... ... ... ... 0.004 0.028
Constant 10.0 * 0.02 10.0 * 0.020 9.22 * 0.059
Establishment-level wage regressions, industry-sector models: Part 2
  Model 1 Model 2 Model 3
Weighted No No No
F-statistics 76.5 139.0 135.6
R-squared 0.129 0.284 0.348
Number of observations 4,713 4,713 4,713
1.
yes=1 indicates the presence of the attribute.
Note(s):
Standard errors are heteroscedasticity-consistent and are also robust to possible clustering at the plant level; * significant at the .05 level; **significant at the .10 level.
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