nep-hrm New Economics Papers
on Human Capital and Human Resource Management
Issue of 2014‒10‒17
eight papers chosen by
Tommaso Reggiani
Universität zu Köln
  1. Parental Response to Early Human Capital Shocks By Martina Zweimueller; Martin Halla
  2. Human Capital and Regional Wage Gaps By Enrique LOPEZ-BAZO; Elisabet MOTELLON
  3. Explaining the evolution of educational attainment in the U.S. By CASTRO, Rui; COEN-PIRANI, Daniele
  4. Human Capital Theory, Returns to Education and On-the-job Learning: Evidence from Canadian Data By Mohsen BOUAISSA
  5. Human Capital Accumulation and Geography: Empirical Evidence in the European Union By Jesús López-Rodríguez; J. Andrés Faíña
  6. Constrained Efficiency in a Risky Human Capital Model By Yena Park
  7. Human Capital Formation and the Linkage between Trade and Poverty: The Cases of Costa Rica and Nicaragua By Hugo ROJAS-ROMAGOSA; Luis RIVERA
  8. Inter-industry labor reallocation and task distance By Ayako Kondo; Saori Naganuma
  1. By: Martina Zweimueller; Martin Halla
    Date: 2014–01
    URL: http://d.repec.org/n?u=RePEc:duh:wpaper:1401&r=hrm
  2. By: Enrique LOPEZ-BAZO; Elisabet MOTELLON
    URL: http://d.repec.org/n?u=RePEc:ekd:002596:259600107&r=hrm
  3. By: CASTRO, Rui; COEN-PIRANI, Daniele
    Abstract: We study the evolution of educational attainment of the 1932–1972 cohorts using a calibrated model of investment in human capital with heterogeneous learning ability. The inter-cohort variation in schooling is driven by changes in skill prices, tuition, and education quality over time, and average learning ability across cohorts. A version of the model with static expectations is successful in accounting for the main patterns in the data. Rising skill prices for college explain the rapid increase in college graduation till the 1948 cohort. The measured decline in average learning ability contributes to explain the stagnation in college graduation between the 1948 and 1972 cohorts.
    Keywords: Educational attainment; human capital; skill prices; inequality; cohorts
    JEL: I24 J24 J31 O11
    Date: 2014
    URL: http://d.repec.org/n?u=RePEc:mtl:montde:2014-07&r=hrm
  4. By: Mohsen BOUAISSA
    URL: http://d.repec.org/n?u=RePEc:ekd:000215:21500017&r=hrm
  5. By: Jesús López-Rodríguez; J. Andrés Faíña
    URL: http://d.repec.org/n?u=RePEc:ekd:002836:283600060&r=hrm
  6. By: Yena Park (University of Rochester)
    Date: 2014–09
    URL: http://d.repec.org/n?u=RePEc:roc:rocher:585&r=hrm
  7. By: Hugo ROJAS-ROMAGOSA; Luis RIVERA
    URL: http://d.repec.org/n?u=RePEc:ekd:002596:259600143&r=hrm
  8. By: Ayako Kondo (Yokohama National University); Saori Naganuma (Bank of Japan)
    Abstract: This paper investigates the factors preventing inter-industry labor reallocation by estimating the determinants of inter-industry worker flow and earnings change after a job change. We find that the difference in required tasks is an important reason for reduction in earnings after an inter-industry job change, and the fear of earnings losses may prevent workers from moving to industries requiring a different set of tasks. Also, more workers switch to industries with which their previous industry had larger transactions, although it affects earnings changes only marginally. On the other hand, industry performance does not affect labor inflow or wage changes significantly for inter-industry job changes. Furthermore, earnings loss associated with a move to a distant industry is not necessarily smaller for workers who are relatively more likely to move to a distant industry.
    Keywords: inter-industry labor mobility; task specific human capital
    JEL: J62 J21
    Date: 2014–09–30
    URL: http://d.repec.org/n?u=RePEc:boj:bojwps:wp14e08&r=hrm
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