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Responsible team players wanted: an analysis of soft skill requirements in job advertisements (1810.07781v2)

Published 13 Oct 2018 in cs.CY and cs.CL

Abstract: During the past decades the importance of soft skills for labour market outcomes has grown substantially. This carries implications for labour market inequality, since previous research shows that soft skills are not valued equally across race and gender. This work explores the role of soft skills in job advertisements by drawing on methods from computational science as well as on theoretical and empirical insights from economics, sociology and psychology. We present a semi-automatic approach based on crowdsourcing and text mining for extracting a list of soft skills. We find that soft skills are a crucial component of job ads, especially of low-paid jobs and jobs in female-dominated professions. Our work shows that soft skills can serve as partial predictors of the gender composition in job categories and that not all soft skills receive equal wage returns at the labour market. Especially "female" skills are frequently associated with wage penalties. Our results expand the growing literature on the association of soft skills on wage inequality and highlight their importance for occupational gender segregation at labour markets.

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Authors (5)
  1. Federica Calanca (1 paper)
  2. Luiza Sayfullina (3 papers)
  3. Lara Minkus (1 paper)
  4. Claudia Wagner (37 papers)
  5. Eric Malmi (26 papers)
Citations (39)

Summary

Analysis of Soft Skill Requirements in Job Advertisements and Their Implications for Labor Market Inequality

The paper titled "Responsible team players wanted: an analysis of soft skill requirements in job advertisements" presents a detailed examination of the role of soft skills in the labor market, exploring how these skills are represented in job ads and the ensuing implications for gender and wage disparities. The research employs computational methods and draws from interdisciplinary theoretical frameworks in economics, sociology, and psychology to assess the increasing importance of soft skills and their complex interplay with labor market dynamics.

Research Objective and Methodology

The paper aims to uncover the role soft skills play in contributing to gender inequality and occupational segregation in labor markets. To achieve this, the authors developed a semi-automatic method utilizing crowdsourcing and text mining techniques to catalogue soft skills from a sizable dataset of online job advertisements. This methodology allowed the extraction and categorization of a comprehensive list of soft skills to be analyzed in relation to job categories, wage outcomes, and gender composition.

Key Findings

  1. Prevalence and Nature of Soft Skills: The analysis reveals that soft skills are a ubiquitous inclusion within job ads, with a higher prevalence in ads for low-paid positions and those in female-dominated fields. This indicates a potential correlation between the emphasis on soft skills and occupationally segregated job categories.
  2. Wage Premiums and Penalties: The paper identifies that not all soft skills are rewarded equally in the labor market. Certain skills associated with leadership and authority roles attract wage premiums, while others that are deemed stereotypically "female" face wage penalties. This bifurcation highlights systemic biases in how soft skills are economically valued.
  3. Gendered Soft Skill Impact: The presence of soft skills in job advertisements shows a strong predictive capability regarding the gender composition of job categories. Soft skills linked to traditionally female stereotypes are associated with female-dominated professions, with these occupations often experiencing wage penalties.

Implications and Future Directions

The findings underscore the potential of soft skills to perpetuate existing labor market inequalities, particularly in gender-related occupational segregation and wage discrepancies. The usage of gender-stereotypical traits in job ads can both deter applicants from certain genders due to mismatched self-assessments and uphold cultural stereotypes about occupational roles, thereby reinforcing a leaky pipeline that channels women into lower-paid jobs.

The paper suggests several avenues for future research: exploring causal relationships between soft skill requirements and labor outcomes, investigating additional demographic factors like race and age in relation to soft skills, and examining the evolution of soft skill demands with technological and societal changes. Moreover, leveraging increasingly sophisticated AI techniques in text mining and sentiment analysis could enhance the granularity and accuracy of soft skill extraction and evaluation.

Conclusion

This research provides valuable insights into the nuanced role of soft skills within the labor market, emphasizing their significant but uneven influence on job value and gender distribution across occupations. The documented relationship between soft skills and labor market polarization presents crucial considerations for policy, recruitment practices, and efforts toward gender equality in work environments. As labor demands evolve, it is imperative to understand and address the socio-economic mechanisms that contribute to inequality, with soft skills playing a pivotal role in this discourse.

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