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College admissions with stable score-limits

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Abstract

A common feature of the Hungarian, Irish, Spanish and Turkish higher education admission systems is that students apply for programmes and are ranked according to their scores. Students who apply for a programme with the same score are tied. Ties are broken by lottery in Ireland, by objective factors in Turkey (such as date of birth) and by other precisely defined rules in Spain. In Hungary, however, an equal treatment policy is used, students applying for a programme with the same score are all accepted or rejected together. In such a situation there is only one decision to make, whether or not to admit the last group of applicants with the same score who are at the boundary of the quota. Both concepts can be described in terms of stable score-limits. The strict rejection of the last group with whom a quota would be violated corresponds to the concept of H-stable (i.e. higher-stable) score-limits that is currently used in Hungary. We call the other solutions based on the less strict admission policy as L-stable (i.e. lower-stable) score-limits. We show that the natural extensions of the Gale–Shapley algorithms produce stable score-limits, moreover, the applicant-oriented versions result in the lowest score-limits (thus optimal for students) and the college-oriented versions result in the highest score-limits with regard to each concept. When comparing the applicant-optimal H-stable and L-stable score-limits we prove that the former limits are always higher for every college. Furthermore, these two solutions provide upper and lower boundaries for any solution arising from a tie-breaking strategy. Finally we show that both the H-stable and the L-stable applicant-proposing score-limit algorithms are manipulable.

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Notes

  1. The 2012 Nobel-Prize in Economic Sciences has been awarded to Alvin Roth and Lloyd Shapley for the theory of stable allocations and the practice of market design.

  2. Each applicant applies to at most five universities, but does not inform universities about her preferences among them. Universities rank students using results of Unified State Exams. Two ‘admission rounds’ are organized that are similar to the first two steps of a deferred acceptance procedure. After the second step, universities that still have empty seats are allowed to organize additional admissions.

  3. However, we shall note that regrettably these scientific papers deal only with some special features of these systems (as we also do in this paper) so not all the aspects of these schemes are described. But luckily, there is a new European research network, called Matching in Practice (2012), one of whose aim is to collect and describe current matching practices in Europe. So hopefully we will have a better picture and understanding on the current practices, at least in Europe.

  4. From the information published at the website of the Central Applications Office (2012) it seems that the college-proposing Gale–Shapley algorithm is used in Ireland with some special features. One is that students can apply for ‘level 8’ and ‘level 7/6’ courses simultaneously, and these applications are processed separately, so a student may receive more than one offer at a time. There are deadlines for accepting offers and if offers are rejected then further offers are made by the higher education institutions, so the mechanism is somewhat decentralized. The tie-breaking is based on ‘random-numbers’ assigned to students with regard to each programme they applied for, so the ties are broken differently for different programmes involving perhaps the same applicants.

  5. In SFAS (Irving 2012), applicants are ranked by NHS Education for Scotland in a so-called master list, in order of score each applicant has a numerical score allocated partly on the basis of academic performance and partly as a result of the assessment of their application form. The range of possible scores (approximately 40 100) is much smaller than the number of applicants (around 750 each year), so there are ties of substantial length in the master list.

  6. In Hungary the scoring method became finer in 2007. Until 2007 each written exam with a maximum score of 100 had been rounded to an integer score between 0 and 15. Since 2007 the exact score of these written exams are considered when calculating the final scores of the students. As a result the maximum score increased from 144 to 480 and the ties in the rankings of the colleges became less common and between a smaller number of students.

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Acknowledgments

We would like to thank Gábor Varjasy, the representative of Educatio Kht (the non-profit governmental organization which runs the higher education admission scheme in Hungary). Furthermore we acknowledge Tamás Fleiner, Rob Irving and the two referees for their useful comments and we also thank Jordi Masso and Antonio Romero-Medina for their help in understanding the Spanish higher education admissions system. Finally we would like to thank the participants of the Frontiers of Market Design: Matching Markets Conference, the 8th Spain-Italy-Netherlands Meeting on Game Theory, the Fourth Congress of the Game Theory Society, the 11th Meeting of Society of Social Choice and Welfare and the Fourth International Workshop on Computational Social Choice, for giving useful feedback.

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Correspondence to Péter Biró.

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This work was supported by OTKA Grant K108383 and by the Hungarian Academy of Sciences under its Momemtum Programme (LD-004/2010).

The study was implemented in the framework of the Basic Research Program at the National Research University Higher School of Economics in 2012–2013.

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Biró, P., Kiselgof, S. College admissions with stable score-limits. Cent Eur J Oper Res 23, 727–741 (2015). https://doi.org/10.1007/s10100-013-0320-9

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