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Statistics of wages are weighted by the number of employees in the firm Table 2 Descriptive statistics on workers (at the contract level) Year Daily wage Age % Females % Full time workers % Temporary workers % Blue collars % White collars % Middle managersa% Middle managersa % Industry N employees N firmsbN firmsb mean s.d.
JPPs had reduced thickness and were indented in most of the goats, in a few goats they were thickened and firm (Table 4).
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We have organized our results according to two sets of firm characteristics: firm ownership (Tables 7 and 8) and firm size (Tables 9 and 10) and by the ethnicities of the pair of candidates submitted to each firm (Tables 11 and 12).
There are more large firms sampled in the WES survey than small firms (Table 1).
We obtain similar results in the case of distressed firms (Table 4).
The difference between relative productivity and relative wage is larger in small firms but smaller in large firms (Table 5).
In particular, medium and large firms are more likely to provide training than small firms (Table 1).
Older firms (5 15 years old) tend to rely more on temporary workers than young firms (Table 1).
Hence, the Kaitz index in micro firms is one third higher than in large firms (Table 3).
The timing of initial adoption and the duration of certification varied across the sample firms (Table 2).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com