data_ai_firm

The data contain a sample of 947,253 vacancies from HeadHunter database covering 2015-2021 period. Each row represents one vacancy. The columns descriptions are the following: <em>firm</em> - the firm identifier that published a vacancy; <em>occupation</em> - the first mentioned occupation code in a vacancy according to HeadHunter classification (https://api.hh.ru/specializations); <em>year_mon</em> - year and month of vacancy published date; columns from <em>ai</em> to <em>data - </em>binary variables (skill groups) indicating the inclusion of specified skills into a particular skill group (according to Deming, D., &amp; Noray, K. (2020). Earnings dynamics, changing job skills, and STEM careers. <em>The Quarterly Journal of Economics</em>, <em>135</em>(4),1965–2005); <em>wage</em> - monthly wage suggested in a vacancy (in Rubles); <em>region</em> - the integer indicator of a vacancy posting region (Russian community zone) according to HeadHuter platform; <em>firm_size</em> - firm size 5-level categorical variable indicating the number of workers: "micro", 1–15 workers; "small", 16–100 workers; "medium", 101–250 workers; "large", 251–1,000 workers; "huge", more than 1,000 workers; <em>industry</em> - firm industry code according to Russian Classification of Economic Activities (OKVED); <em>firm_ai</em> - the measure of the AI skills demand (calculated based on Alekseeva, L., Azar, J., Gine, M., Samila, S., &amp; Taska, B. (2021). The demand for AI skills in the labor market. <em>Labour Economics</em>, <em>71</em>, 102002).