Text table 4
Average weekly earnings (wi) as a function
of employment and density
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Model 1 | Model 2 | Model 3 | Model 4 | |||||
---|---|---|---|---|---|---|---|---|
coefficient | p-value | coefficient | p-value | coefficient | p-value | coefficient | p-value | |
Regressors | ||||||||
Intercept | 5.790 | 0.000 | 5.850 | 0.000 | 6.190 | 0.000 | 6.230 | 0.000 |
Employment in location j | 0.046 | 0.000 | 0.035 | 0.000 | ... | ... | ... | ... |
Employment in industry k in location j | … | … | 0.009 | 0.117 | … | … | … | … |
Employment density in location j | … | … | … | … | 0.037 | 0.000 | 0.030 | 0.000 |
Employment density in industry k in location j | … | … | … | … | … | … | 0.007 | 0.191 |
Model 1 | Model 2 | Model 3 | Model 4 | |
---|---|---|---|---|
Diagnosticstatistics | ||||
R-squared | 0.01 | 0.01 | 0.01 | 0.01 |
F-statistics | 64.6 | 34.6 | 55.2 | 39.0 |
Probability greater than F | 0.000 | 0.000 | 0.000 | 0.000 |
Number of observations | 509,940 | 509,940 | 509,940 | 509,940 |
Note(s):
P-values are based on standard errors adjusted for heteroskedasticity
and the correlation of errors within geographic units.
Source(s):
Statistics Canada, 2001 Census of Population.
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