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In the age of e-civilization, human capital that is capable of knowledge-based innovations gets special attention. We in our paper focus on researching new forms of social and labor relations and the effect of education, work experience and certain other factors on the wages. We supplement traditional labor statistics with online data collected and structured with a dedicated software system and with personal character features assessed with psychological diagnostics methods. We highlight the two groups of workers in modern economy -- freelancers and full-time employees -- and outline benefits and disadvantages of remote work, based on quantitative evaluations obtained from the modified Mincer model. Particularly, we attained the values for the effect of education level, work experience, residence location, and personal features on wages in the Siberian Federal Okrug.
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Алетдинова et al. (2017) studied this question.
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