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One of the contributions of this paper lies in the broader interpretation of the estimates of underreporting by taking into consideration the chance of hiding income by salary workers too.
Responses are logarithmized, therefore the interpretation of the estimates differs from the analysis using original scaling.
For similar reasons caution should be applied to the interpretation of the estimates of the growth parameter β.
However, our interpretation of the estimates of R2, S2, and γ22 we obtain depends crucially on this assumption.
In addition, the lack of sensitivity of %CDT, the best commercially available biomarker for testing of plasma, constrained the interpretation of the estimates.
As responses were logarithmized in the linear regression analysis, the interpretation of the estimates differs from the analysis using original scaling.
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While the core results should not change, the interpretation of the estimated parameter coefficients would.
The interpretation of the estimated position effects and model comparisons are explained.
Note that the interpretation of the estimated coefficients in this model is based on hazard ratio rather than the covariate effect on the mean.
Thus, a potential poaching problem appear to affect only few firms, even if a causal interpretation of the estimated relationship for firms with low skill needs is possibleu.
The interpretation of the estimated coefficients for the factors (year and fleet) and distances (d and de), was carried out using graphs of the predictions of the expected proportions obtained after adjusting the models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com