Number of Identified Keywords/Expressions in the Vacancy and Applicants' Data, Attributable to Different Types of Sources (Absolute and % for All Years).
| Unique Skills (Keywords/Expressions) Captured (1) | Source Type 1: Online Data (2) | Source Type 2: Non-online Data (3) | Source Type 3: O-NET Uruguay (4) | |
|---|---|---|---|---|
| Vacancies | 372,879 | 269,603 | 65,853 | 37,411 |
| (72.31%) | (17.66%) | (10.03%) | ||
| Applicants | 1,065,305 | 645,809 | 325,416 | 94,080 |
| (60.62%) | (30.55%) | (8.83%) |
| Unique Skills (Keywords/Expressions) Captured | Source Type 1: | Source Type 2: | Source Type 3: | |
|---|---|---|---|---|
| Vacancies | 372,879 | 269,603 | 65,853 | 37,411 |
| (72.31%) | (17.66%) | (10.03%) | ||
| Applicants | 1,065,305 | 645,809 | 325,416 | 94,080 |
| (60.62%) | (30.55%) | (8.83%) |
Notes: Authors' calculations based on BuscoJobs database. The table displays the number of keywords/expressions identified across vacancies and applicants' job spells and how these are attributable to different types of sources. For each vacancy or applicants' job spell, we only consider unique skills (i.e., a keyword/expression could appear multiple times but is considered only once per observation). Moreover, we only consider initial keywords/expressions, and neglect synonyms, as these are less straight-forward to attribute to source types. Source types are the following: Type 1 refers to studies based on online-data, namely DK (2018), DN (2020), HK (2012), KBHT (2016). Type 2 refers to non-online-based data, namely ALM (2003), S-O (2006), APST (2020). Type 3 refers to O-NET Uruguay, which we have used as a supplementary source. See Section 2 and Table 1 for more details.
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