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Linking University Harshness and Students’ Choices: Sociodemographic Differences based on Italian Universities’ Characteristics

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  • Gabriele Lombardi
  • Giulio Ghellini

Abstract

Through the decades, the Higher Education System globally experimented a huge increase in the average marks that each student receives. Among several hypothesis, in this article the idea that grading is one of the tool that every department can use in order to attract a larger amount of students will be stressed. Regarding the Italian case, the speed in obtaining a degree is among the criteria considered by the Ministry of Education in order to evaluate universities, financing them proportionally. As a shortcoming, this can boost an artificial increase in marks. So, the number of students becomes important for those universities with the worst ranking positions, in order to finance themselves through fees. On the other side, it is reasonable to expect that a student emigrates toward places which offer higher chances of receiving a job. In other words, mobility might be driven by the search for better working conditions, and not by the ’ease’ of the faculty. Testing this hypothesis, a Multinomial Conditional Logit Model will be implemented in order to measure the probability of choosing a certain destination depending on the harshness and reputation of a University and on the rates of unemployment at a regional level.

Suggested Citation

  • Gabriele Lombardi & Giulio Ghellini, 2019. "Linking University Harshness and Students’ Choices: Sociodemographic Differences based on Italian Universities’ Characteristics," Department of Economics University of Siena 805, Department of Economics, University of Siena.
  • Handle: RePEc:usi:wpaper:805
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    1. Schmidheiny, Kurt & Brülhart, Marius, 2011. "On the equivalence of location choice models: Conditional logit, nested logit and Poisson," Journal of Urban Economics, Elsevier, vol. 69(2), pages 214-222, March.
    2. Francesca Giambona & Mariano Porcu & Isabella Sulis, 2017. "Students Mobility: Assessing the Determinants of Attractiveness Across Competing Territorial Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 1105-1132, September.
    3. Bratti, Massimiliano & Verzillo, Stefano, 2017. "The 'Gravity' of Quality: Research Quality and Universities' Attractiveness in Italy," IZA Discussion Papers 11026, Institute of Labor Economics (IZA).
    4. Carmen Aina & Eliana Baici & Giorgia Casalone, 2011. "Time to degree: students' abilities, university characteristics or something else? Evidence from Italy," Education Economics, Taylor & Francis Journals, vol. 19(3), pages 311-325.
    5. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, University of Rome La Sapienza, Department of Economics and Law.
    6. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2004. "Industrial Location Modeling: Extending the Random Utility Framework," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 1-20, February.
    7. Giuseppe Croce & Emanuela Ghignoni, 2002. "Training by firms in italian regional labour markets: the effects of education and unemployment," Working Papers in Public Economics 66, University of Rome La Sapienza, Department of Economics and Law.
    8. Paul S. Davies & Michael J. Greenwood & Haizheng Li, 2001. "A Conditional Logit Approach to U.S. State‐to‐State Migration," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 337-360, May.
    9. Massimiliano Bratti & Stefano Staffolani, 2013. "Student Time Allocation and Educational Production Functions," Annals of Economics and Statistics, GENES, issue 111-112, pages 103-140.
    10. William Chan & Li Hao & Wing Suen, 2007. "A Signaling Theory Of Grade Inflation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(3), pages 1065-1090, August.
    11. repec:adr:anecst:y:2013:i:111-112:p:5 is not listed on IDEAS
    12. Manuel Bagues & Mauro Sylos Labini & Natalia Zinovyeva, 2008. "Differential Grading Standards and University Funding: Evidence from Italy," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 149-176.
    13. Mattia Cattaneo & Paolo Malighetti & Michele Meoli & Stefano Paleari, 2017. "University spatial competition for students: the Italian case," Regional Studies, Taylor & Francis Journals, vol. 51(5), pages 750-764, May.
    14. Michael Ostrovsky & Michael Schwarz, 2010. "Information Disclosure and Unraveling in Matching Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 2(2), pages 34-63, May.
    15. Massimiliano Bratti & Stefano Verzillo, 2019. "The ‘gravity’ of quality: research quality and the attractiveness of universities in Italy," Regional Studies, Taylor & Francis Journals, vol. 53(10), pages 1385-1396, October.
    16. R. Todd Jewell & Michael A. McPherson & Margie A. Tieslau, 2013. "Whose fault is it? Assigning blame for grade inflation in higher education," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1185-1200, March.
    17. Giuseppe Bruno & Andrea Genovese, 2012. "A Spatial Interaction Model for the Representation of the Mobility of University Students on the Italian Territory," Networks and Spatial Economics, Springer, vol. 12(1), pages 41-57, March.
    18. Giorgia Casalone & Carmen Aina & Eliana Baici, 2010. "Time-to-degree: Students' abilities, university characteristics or what else?," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 3, pages 67-86, Asociación de Economía de la Educación.
    19. Emanuele Ciani & Vincenzo Mariani, 2014. "How the labour market evaluates Italian universities," Questioni di Economia e Finanza (Occasional Papers) 247, Bank of Italy, Economic Research and International Relations Area.
    20. Antonella D’Agostino & Giulio Ghellini & Sergio Longobardi, 2019. "Out-migration of university enrolment: the mobility behaviour of Italian students," International Journal of Manpower, Emerald Group Publishing Limited, vol. 40(1), pages 56-72, January.
    21. Tim Ehlers & Robert Schwager, 2016. "Honest Grading, Grade Inflation, and Reputation," CESifo Economic Studies, CESifo Group, vol. 62(3), pages 506-521.
    22. Maria, De Paola, 2008. "Are easy grading practices induced by low demand? Evidence from Italy," MPRA Paper 14425, University Library of Munich, Germany.
    23. Richard Williams, 2012. "Using the margins command to estimate and interpret adjusted predictions and marginal effects," Stata Journal, StataCorp LP, vol. 12(2), pages 308-331, June.
    24. Saul Hoffman & Greg Duncan, 1988. "Multinomial and conditional logit discrete-choice models in demography," Demography, Springer;Population Association of America (PAA), vol. 25(3), pages 415-427, August.
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    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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