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The economic return to schooling in Ireland

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  • Callan, Tim
  • Harmon, Colm

Abstract

OLS estimates of the rate of return to education are subject to a number of potential biases. Recent developments in the literature have focused particularly on exploiting alternative instruments, arising naturally in the data, to counteract these problems. A number of such instrumens are available in an Irish data set, including parental background variables (social class and educational attainment), and varaibles measuring changes in the schooling system (the introduction of free secondary schooling in the mid 1960s, accompanied by a rapid rise in educational participation rates, and the raising of the school-leaving age in 1972). The results suggest that OLS estimates of rates of return are not downward biased ( as would be suggested by recent arguments), and offer some support to the idea that discount rate bias may be of importance.
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Suggested Citation

  • Callan, Tim & Harmon, Colm, 1999. "The economic return to schooling in Ireland," Labour Economics, Elsevier, vol. 6(4), pages 543-550, November.
    • Handle: RePEc:eee:labeco:v:6:y:1999:i:4:p:543-550
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    References listed on IDEAS

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    1. Colm Harmon; & Ian Walker, 1995. "Estimates of Economic Return to Schooling in the UK," Economics Department Working Paper Series n540195, Department of Economics, National University of Ireland - Maynooth.
    2. Callan, Tim & Wren, Anne, 1994. "Male-Female Wage Differentials: Analysis and Policy Issues," Research Series, Economic and Social Research Institute (ESRI), number GRS163.
    3. Callan, Tim & Nolan, Brian & Whelan, Brendan J. & Hannan, Damian F. & Creighton, S., 1989. "Poverty, Income and Welfare in Ireland," Research Series, Economic and Social Research Institute (ESRI), number GRS146.
    4. Harmon, Harmon & Ian Walker, 1995. "Estimates of the economic return to schooling for the UK," IFS Working Papers W95/12, Institute for Fiscal Studies.
    5. Tussing, A. Dale, 1978. "Irish Educational Expenditures - Past, Present, and Future," Research Series, Economic and Social Research Institute (ESRI), number GRS92.
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    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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