Decomposing the characteristics of undergraduate student attrition

Vani Borooah, Mark Bailey

Research output: Contribution to journalArticle

Abstract

The authors use the techniques of decomposition analysis to explain differences in survival rates between different groups of 1st year undergraduate students at the University of Ulster in Northern Ireland and explain how much of the overall inequality in survival rates can be explained by inequality within groups and how much can be explained by inequality between groups.They find that 45.1 per cent of the observed difference of 8.2 points in survival rates between female and male students can be explained by gender whereas only 1.4% of the observed difference of 7.4 points in survival rates between Protestant and Catholic students only 1.4% can be explained by religion. Therefore, attribute differences are important in explaining differences in survival rates between males and females, but not between Protestants and Catholics. When looking at how much of the overall inequality in survival rates could be explained by inequality within groups and how much by inequality between groups; they find that the best explanation for the observed inequality in the distribution of survival probabilities was given by the type of course studied accounting for nearly 2/3 of the inequality between students.
LanguageEnglish
Pages993-937
JournalApplied Economics Letters
Volume16
Issue number9
Publication statusPublished - 2008

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Undergraduate students
Attrition
Survival rate
Survival probability
Decomposition analysis
Northern Ireland

Cite this

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title = "Decomposing the characteristics of undergraduate student attrition",
abstract = "The authors use the techniques of decomposition analysis to explain differences in survival rates between different groups of 1st year undergraduate students at the University of Ulster in Northern Ireland and explain how much of the overall inequality in survival rates can be explained by inequality within groups and how much can be explained by inequality between groups.They find that 45.1 per cent of the observed difference of 8.2 points in survival rates between female and male students can be explained by gender whereas only 1.4{\%} of the observed difference of 7.4 points in survival rates between Protestant and Catholic students only 1.4{\%} can be explained by religion. Therefore, attribute differences are important in explaining differences in survival rates between males and females, but not between Protestants and Catholics. When looking at how much of the overall inequality in survival rates could be explained by inequality within groups and how much by inequality between groups; they find that the best explanation for the observed inequality in the distribution of survival probabilities was given by the type of course studied accounting for nearly 2/3 of the inequality between students.",
author = "Vani Borooah and Mark Bailey",
note = "Reference text: Blinder, A.S. (1973), Wage Discrimination: Reduced Form and Structural Estimates, Journal of Human Resources, 8, 436-455 Borooah, V. and Iyer, S. (2005), The Decomposition of Inter-Group Differences in a Logit Model: Extending the Oaxaca-Blinder Approach with an Application to School Enrolment in India, Journal of Economic and Social Measurement, 30, 279 – 293. Cowell, F.A. and S.P. Jenkins, 1995, How Much Inequality Can We Explain? A Methodology and an Application to the USA, Economic Journal, 105, 421-30. Oaxaca, R. (1973), Male-Female Wage Differentials in Urban Labor Markets, International Economic Review, 14, 693-709. Sen, A. (1976), Poverty: An Ordinal Approach to Measurement, Econometrica, 44, 219 - 231. Shorrocks, A F, (1980), The Class of Additively Decomposable Inequality Measures, Econometrica, 48, 613 - 625. Theil, H. (1967), Economics and Information Theory, Amsterdam: North Holland.",
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Decomposing the characteristics of undergraduate student attrition. / Borooah, Vani; Bailey, Mark.

In: Applied Economics Letters, Vol. 16, No. 9, 2008, p. 993-937.

Research output: Contribution to journalArticle

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AB - The authors use the techniques of decomposition analysis to explain differences in survival rates between different groups of 1st year undergraduate students at the University of Ulster in Northern Ireland and explain how much of the overall inequality in survival rates can be explained by inequality within groups and how much can be explained by inequality between groups.They find that 45.1 per cent of the observed difference of 8.2 points in survival rates between female and male students can be explained by gender whereas only 1.4% of the observed difference of 7.4 points in survival rates between Protestant and Catholic students only 1.4% can be explained by religion. Therefore, attribute differences are important in explaining differences in survival rates between males and females, but not between Protestants and Catholics. When looking at how much of the overall inequality in survival rates could be explained by inequality within groups and how much by inequality between groups; they find that the best explanation for the observed inequality in the distribution of survival probabilities was given by the type of course studied accounting for nearly 2/3 of the inequality between students.

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