Human Capital Specificity: Evidence from the Dictionary of Occupational Titles and Displaced Worker Surveys, 1984–2000

By M. Poletaev, C. Robinson. Journal of Labor Economics, 2008

353 citations recorded by the source corpus.

Subfields: Demography, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/7498d851c1690db3f46574df6b85c5b1f675e510

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Citations in the corpus

Automation, skills use and training (2018, background): “21 The most likely reason why automatability and job risk are more correlated at the occupational level is because job tasks are more occupation and less industry specific (Poletaev and Robinson 2008; Gathmann and Schoenberg 2010; Kambourov and Manovskii 2009).”
Social and Economic Returns to College Education in the United States (2012, background): “Similarly, majoring in a science, technology, engineering, or math field pays off more than majoring in the humanities (Roksa 2005, Poletaev & Robinson 2008, Pfeffer 2008, Shauman 2009).”
Do Green Jobs Differ from Non-Green Jobs in Terms of Skills and Human Capital? (2016, background): “Poletaev and Robinson (2008) add to this by drawing attention to skill portfolios, that is, combinations of skills within an occupation.”
The future of skills: employment in 2030 (2017, background): “…to firms of this labour supply flexibility, roughly a quarter of displaced workers experience a major change in skills – one that is associated with sizeable adjustment costs and wage losses (Poletaev and Robinson, 2008; Kambourov and Manovskii, 2009; Gathmann and Schonberg, 2010; Robinson, 2011).”
The Payoff to Skill in the Third Industrial Revolution1 (2013, neutral): “Poletaev and Robinson 2008Þ.”
Opening the Black Box of the Matching Function: The Power of Words (2020, background): “…2000), interindustry wage differentials (Dickens & Katz, 1986; Krueger & Summers, 1986, 1988; Murphy & Topel, 1987; Gibbons & Katz, 1992), the specificity of human capital (Poletaev & Robinson, 2008; Kambourov & Manovskii, 2009), and occupational mobility and worker sorting (Groes et al., 2015).”
Mismatch Unemployment and the Geography of Job Search (2018, neutral): “To estimate distance between two SOC, we use factor analysis, an approach common to the existing literature (Poletaev and Robinson, 2008).”
Skill-relatedness and firm diversification (2013, background): “For example, Poletaev and Robinson (2008) show that labor movements that are forced by the closure of an establishment typically lead to large wage losses for the affected individuals.”