Noncognitive Skills and Labor Market Outcomes: A Machine Learning Approach

Konferenzbeitrag

We study the importance of noncognitive skills in explaining differences in the labor market performance of individuals by means of machine learning techniques. Unlike previous em- pirical approaches centering around the within-sample explanatory power of noncognitive skills our approach focuses on the out-of-sample forecasting and classification qualities of noncognitive skills. Moreover, we show that machine learning techniques can cope with the challenge of selecting the most relevant covariates from big data with a whopping number of covariates on personality traits. This enables us to construct new personality indices with larger predictive power. In our empirical application we study the role of noncognitive skills for individual earnings and unemployment based on the British Cohort Study (BCS). The longitudinal character of the BCS enables us to analyze predictive power of early childhood environment and early cognitive and noncognitive skills on adult labor market outcomes. The results of the analysis show that there is a potential of a long run in uence of early childhood variables on the earnings and unemployment.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2017: Alternative Geld- und Finanzarchitekturen - Session: Treatment Effects ; No. G03-V2

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Human Capital; Skills; Occupational Choice; Labor Productivity ; Unemployment: Models, Duration, Incidence, and Job Search ; Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
• Thema: personality traits ; machine learning

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Mareckova, Jana ; Pohlmeier, Winfried
• Ereignis: Veröffentlichung
• (wer): ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
• (wo): Kiel, Hamburg
• (wann): 2017

Weitere Informationen

• Handle: http://hdl.handle.net/10419/168195
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ