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The impact of mobility on early career earnings: A quantile regression approach for UK graduates

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  • Kidd, Michael P.
  • O'Leary, Nigel
  • Sloane, Peter

Abstract

This paper uses HESA data from the Destination of Leavers from Higher Education survey 2002/03 to examine whether more mobile students have an earnings advantage over those who are less mobile. We define mobility in terms of both choice of institution and location of employment. A clear finding that emerges is that mobility is associated with superior earnings outcomes, principally through students extending their job search horizon. Our analysis examines the entire earnings distribution rather than focussing solely upon the mean, as in common in much of the existing literature. This will provide a much clearer picture as to the true effect of mobility on earnings. We also confirm, via bivariate probit analysis, that there is a positive correlation between individual mobility decisions with regard to the location of university attended and location of employment. There are important policy implications resulting from these findings. If raising student fees or associated living costs reduces mobility, for example through choosing to live at home, this may affect future earnings with consequent impact on loan repayments. Alternatively, any subsidies provided by the Scottish and Welsh governments for local students may not help their own economies given the incentive for students to leave their country of origin post-study to increase their potential earnings.

Suggested Citation

  • Kidd, Michael P. & O'Leary, Nigel & Sloane, Peter, 2017. "The impact of mobility on early career earnings: A quantile regression approach for UK graduates," Economic Modelling, Elsevier, vol. 62(C), pages 90-102.
  • Handle: RePEc:eee:ecmode:v:62:y:2017:i:c:p:90-102
    DOI: 10.1016/j.econmod.2017.01.011
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    Cited by:

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    2. Del Bono, Emilia & Morando, Greta, 2021. "For Some, Luck Matters More: The Impact of the Great Recession on the Early Careers of Graduates from Different Socio-Economic Backgrounds," IZA Discussion Papers 14540, Institute of Labor Economics (IZA).
    3. Isabelle Sin & Shannon Minehan & Nicholas Watson, 2022. "Effective pathways through education to good labour market outcomes for M?ori: Literature summary," Working Papers 22_05, Motu Economic and Public Policy Research.
    4. Adriana Duta & Cristina Iannelli, 2018. "Social Class Inequalities in Graduates’ Labour Market Outcomes: The Role of Spatial Job Opportunities," Social Sciences, MDPI, vol. 7(10), pages 1-18, October.

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    More about this item

    Keywords

    J24; J31; Labour economics; Graduates; Earnings premium; Mobility; Quantile regression;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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