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An analysis of ethnic differences in UK graduate migration behaviour

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Abstract

In this paper, we analyse the employment–migration behaviour of 13,753 UK university graduates. In particular, we distinguish between five different types of sequential migration behaviour from domicile to higher education and on to employment. By controlling for a range of variables relating to human capital acquisition, local economic conditions and personal characteristics, we are able to identify the role of ethnicity in determining the interregional migration behaviour of university graduates.

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Notes

  1. US evidence (Greenwood 1972) suggests that Whites are more mobile than non−Whites, and that this is also true for university graduates.

  2. The fees for all university undergraduate courses in all universities in the UK are identical, with different levels of subsidy being paid by central government to equate the fees paid by students.

  3. For example, here we employ the final degree classification as our individual-specific measure of human capital HK. The covariates of this obviously could not have been known by the individual ex ante when initially applying to university. A better measure to use would have been the individual secondary school A−level scores, before entering university. However, the degree classification of university graduates is known to be significantly and highly correlated with their secondary school A−level scores across a wide range of subject areas (Naylor and Smith 2004). Therefore, in the absence of individual secondary school A−level scores, this is the most appropriate indicator to employ as a measure of individual academic ability.

  4. We employ these GDP per capita density variables as proxies for the position of a location within the national urban hierarchy. This is done based on the fact that there is much evidence to suggest that the generation of job opportunities particularly for UK university graduates, may be related to the rank−order of the area within the national urban hierarchy, which is centred around the southeast of England (Fielding 1992; McCann and Sheppard 2001). Also, the spatial domicile patterns of the non−White ethnic groups in the UK tend to be very highly correlated with densely populated areas, which also generally exhibit high GDP per capita values.

  5. These variables can be interpreted this way within a MNL framework because they are given, irrespective of where the student subsequently chooses to study or work.

  6. Class 1, class 2-1, class 2-2, class 3, in descending order, with class 1 being the highest

  7. In terms of Bachelor, Masters or Ph.D. degree

  8. Therefore, for example, the local employment conditions for an individual postcode observation are those of the county containing the postcode that identifies the location.

  9. In England, seven of these counties are the metropolitan county councils covering the largest urban agglomerations of over one million people. In Scotland, the three separate island councils are combined into a single council for the purposes of our analysis. The average population size of our spatial areas is 408,035.

  10. The 2,700 UK Postcode districts across England, Wales and Scotland have an average radius of 5 km. For urban areas, the average size is much smaller so that locations for most observations are accurate to within 1 or 2 km. The postcode districts have an average area of 84.9 km2 and an average population of 21,162.

  11. Between 6 and 18 months after graduation

References

  • Baryla EA, Dotterweich D (2001) Student migration: do significant factors vary by region. Educ Econ 9(3):269–279

    Article  Google Scholar 

  • DaVanzo J (1976) Differences between return and nonreturn migration: an econometric analysis. Int Migr Rev 10:13–27

    Article  Google Scholar 

  • DaVanzo J (1978) Does employment affect migration? Evidence from microdata. Rev Econ Stat 60:504–514

    Article  Google Scholar 

  • Dorling D, Thomas B (2004) People and places. The Policy Press, Bristol

    Google Scholar 

  • Evans AW (1990) The Assumption of equilibrium in the analysis of migration and interregional differences. J Reg Sci 30(4):515–531

    Article  Google Scholar 

  • Fieldhouse EA, Gould MI (1998) Ethnic minority unemployment and local labour market conditions in Great Britain. Environ Plann A 30:833–853

    Article  Google Scholar 

  • Fielding AJ (1992) Migration and social mobility: southeast England as an escalator region. Reg Stud 26(1):1–15

    Article  Google Scholar 

  • Fielding AJ (1993) Geographies of opportunity: a regional analysis of gender-specific social and spatial mobilities in England and Wales. Environ Plann A 25:1421–1440

    Article  Google Scholar 

  • Graves PE (1993) Migration and climate. J Reg Sci 20(2):227–237

    Article  Google Scholar 

  • Greenwood MJ (1972) The geographic mobility of college graduates. J Hum Resour 8(4):506–515

    Article  Google Scholar 

  • Greenwood MJ, Gormely PJ (1971) A comparison of the determinants of white and nonwhite interstate migration. Demography 8:141–155

    Article  Google Scholar 

  • Harmon C, Walker I, Westergaard-Nielsen N (2001) Education and earnings in Europe: a cross country analysis of the returns to education. Edward Elgar, Cheltenham

    Google Scholar 

  • Harris JR, Todaro MP (1970) Migration unemployment and development: a two-sector analysis. Am Econ Rev 60(1):126–142

    Google Scholar 

  • Herzog HW, Hofler RA, Schlottman AM (1985) Life on the frontier: migrant information, earnings and past mobility. Rev Econ Stat 67:373–382

    Article  Google Scholar 

  • Hilmer MJ (2002) Student migration and institutional control as screening devices. Econ Lett 76:19–25

    Article  Google Scholar 

  • Kodrzycki YK (2001) Migration of recent college graduates: evidence from the national longitudinal survey of youth. N Engl Econ Rev 13–34

  • Layard R, Nickell S, Jackman R (1991) Unemployment: macroeconomic performance and the labour market. Oxford Univ Press, Oxford, UK

    Google Scholar 

  • Madden JF (1981) Why women work closer to home urban studies 18:181–194

  • McCann P, Sheppard S (2001) Public investment and regional labour markets: the role of UK higher education. In: Felsenstein D, McQuaid RW, McCann P, Shefer D (eds) Public investment and regional development. Edward Elgar, Cheltenham

    Google Scholar 

  • Mixon FG Jr, Hsing Y (1994) The determinants of out-of-state enrollments in higher education: a tobit analysis. Econ Educ Rev 13:329–335

    Article  Google Scholar 

  • Naylor R, Smith J (2004) Degree performance of economics students in UK universities: absolute and relative performance in prior qualifications. Scott J Polit Econ 51:250–265

    Article  Google Scholar 

  • Newbold KB (1997) Primary, return and onward migration in the US and Canada: is there a difference? Pap Reg Sci 76:175–198

    Article  Google Scholar 

  • OECD (2004) Education at a glance. OECD, Paris

    Google Scholar 

  • Porell FW (1982) Intermetropolitan migration and quality of life. J Reg Sci 22: 137–158

    Article  Google Scholar 

  • Robinson V (1993) ‘Race’, gender, and internal migration within England and Wales. Environ Plann A 25:1453–1465

    Article  Google Scholar 

  • Sjaastad LA (1962) The costs and returns of human migration. J Polit Econ 70:80–93(Suppl)

    Article  Google Scholar 

Download references

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Faggian, A., McCann, P. & Sheppard, S. An analysis of ethnic differences in UK graduate migration behaviour. Ann Reg Sci 40, 461–471 (2006). https://doi.org/10.1007/s00168-006-0061-y

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