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Thus, we also control for "tenure".
We also control for age and gender in this model.
We also control for size (as measured by revenues, REV).
We also control for household characteristics that may influence the decision to return.
In some models, we also control for individuals' demographic and human capital characteristics.
We also control for differences in missing values in the PSTRE evaluation.
Next, in columns (2) and (3) of Table 2, we also control for occupation and industry.
Finally, we also control for potential time-dependent influence by using YEAR as a dummy variable.
We also control for work experience, as this is likely to ease labour market transitions.
We also control for a number of variables that might account for variations in R&D behavior of firms.
We also control for patience and math proficiency, which are significantly related to performance in the CRT.
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