Predicting Skill Shortages in Labor Markets: A Machine Learning Approach

Systematic Literature Review: An Analysis of Skill Mismatch Measurement

“…The subject of studies was varied as some studies aimed directly at solving skill gaps (Almaleh et al, 2019;Baruah et al, 2018;Benhayoun & Lang, 2021;Hoang et al, 2018;Kranov & Khalaf, 2016;Lavrynenko et al, 2018). Meanwhile, the other studies focused on skill shortage (Dawson et al, 2019(Dawson et al, , 2020, skills mismatch (Ward et al, 2017), occupational mismatch (Turrell et al, 2021), and matching of demand and supply in the labor market (Vankevich & (2018) has created a system to analyze the skill, demand, and supply of the labor market which indirectly overcomes the issue of mismatching in using online job data which is a job advertisement. The proposed system known as SKILL is a system to detect skill gaps in online recruitment.…”

“…Meanwhile, in measuring the skill mismatch, the use of education as a proxy is a proven weak indicator, as proven by Tijdens et al (2018). Future studies on skill shortages could apply and test the variables proposed by Dawson et al (2019) & Dawson et al (2020 in other labor markets using other data sources, such as government databases. Overall, the author's recommendation is to explore the study in a wider area as stated in the table 5 below.…”

“…• the skill mismatch discussion of the study refers to the job seeker perspective, not in job holder parts • the bias of data selection as the database selection mostly presents overeducated vacancies only Dawson et al (2019) • Tested the variable to predict skill shortage: salary levels, education requirements, experience demands, and job ad posting predictability with government agencies data and other occupational groups Dawson et al (2020) • applying different variables and features for the next study • use deep learning to explore more about the skills shortage. Baruah et al (2018) • The roles of politics, governments policies, and education to overcome the skill gap for entrepreneurs in renewable energy Almaleh et al (2019) • the authors excluded the job advertisement that publishes in Arabic.…”

Makine Öğrenmesi Yöntemleri İle Günümüz Ve Geleceğe Yönelik Meslek Tahminlerinin Değerlendirilmesi : Türkiye'den Ampirik Deliller

“…s study, the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work were discussed [20]. In the study of Dawson et all., job ads data and employment statistics were used to predict skills shortage and it was determined which skills are most important for occupations in shortage [21]. In the study of Boselli et al, If appropriately retrieved and analyzed the detailed and valuable information about the Web Labor Market dynamics and trends was obtained from the huge number of job vacancies available today on on-line job portals [22].…”

Nowcasting the Australian Labour Market at Disaggregated Levels

“…These two innovations are extending the reach of nowcasting into new fields, including labour market analysis. As Dawson et al (2020, p. 2) point out, ‘the confluence of more available labour market data facilitated by the internet (for example job ads), advances in computation and greater access to analytical tools (such as machine learning) are enabling more data‐driven approaches for the labour prediction tasks’. This confluence of data provides a new way of examining labour market activity more frequently.…”