Table 5
Establishment-level wage regression models

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Establishment-level wage regression models: Part 1
  Panel (A) Panel (B)
Model 1 Model 2 Model 3 Model 1 Model 2 Model 3
  coefficient standard error coefficient standard error coefficient standard error coefficient standard error coefficient standard error coefficient standard error
Establishment characteristics  
Export profile  
Export (yes = 1) 1 0.141 * 0.011 0.061 * 0.011 0.058 * 0.011 … … … … … …
Export intensity … … … … … … 0.224 * 0.020 0.097 * 0.021 0.073 * 0.019
Foreign-controlled (yes = 1) 1 0.298 * 0.012 0.188 * 0.013 0.162 * 0.012 0.301 * 0.012 0.188 * 0.013 0.162 * 0.012
Log of plant size (employment) … … 0.057 * 0.005 0.060 0.004 … … 0.059 * 0.005 0.062 * 0.004
Log of capital-to-labour ratio … … 0.107 * 0.015 0.097 * 0.014 … … 0.110 * 0.016 0.100 * 0.014
Multi-plant status (yes = 1) 1 … … 0.132 * 0.011 0.108 * 0.010 … … 0.134 * 0.011 0.110 * 0.010
Metropolitan (yes = 1) 1 … … 0.097 * 0.010 0.086 * 0.011 … … 0.099 * 0.010 0.086 * 0.011
Worker characteristics  
Mean age … … … … 0.006 * 0.001 … … … … 0.006 * 0.001
Mean education … … … … 0.036 * 0.003 … … … … 0.036 * 0.003
Percent male … … … … 0.278 * 0.017 … … … … 0.278 * 0.017
Percent non-visible-minority … … … … 0.019 0.035 … … … … 0.020 0.035
Percent immigrant … … … … -0.017 0.029 … … … … -0.011 0.029
Constant 10.200 * 0.008 10.000 * 0.020 9.140 * 0.059 10.300 * 0.007 10.000 * 0.020 9.150 * 0.059
Establishment-level wage regression models: Part 2
  Panel (A) Panel (B)
Model 1 Model 2 Model 3 Model 1 Model 2 Model 3
Weighted No No No No No No
F-statistics 473.2 264 206.1 465.9 267.6 206.3
R-squared 0.153 0.241 0.324 0.146 0.24 0.322
Number of observations 4713 4713 4713 4713 4713 4713
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.
Source(s):
Census of Population (2001) and Annual Survey of Manufactures (1999).
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