The market segmentation of higher education in Colombia reveals social inequalities

References

• Aggarwal, C. C. (2015). Data mining: The textbook. Springer.
   Google Scholar
• Altbach, P. G. (1999). The logic of mass higher education. Tertiary Education and Management, 5(2), 107–20. https://doi.org/https://doi.org/10.1080/13583883.1999.9966985
   Google Scholar
• Blasco, C. M. (2011). Calidad, evaluación y acreditación en la educación superior: a propósito de un proyecto de reforma en Colombia. Pensamiento Jurídico, (31), 155–185.
   Google Scholar
• Bourdieu, P., & Passeron, J.-C. (1990). Reproduction in education, society and culture (Vol. 4). Sage. https://doi.org/https://doi.org/10.1146/annurev.soc.31.041304.122232
   Google Scholar
• Breen, R., & Jonsson, J. O. (2005). Inequality of opportunity in comparative perspective: Recent research on educational attainment and social mobility. Annual Review of Sociology, 31(1), 223–243. https://doi.org/https://doi.org/10.1146/annurev.soc.31.041304.122232
   Web of Science ®Google Scholar
• Buckner, E. (2017). The worldwide growth of private higher education: Cross-national patterns of higher education institution foundings by sector. Sociology of Education, 90(4), 296–314. https://doi.org/https://doi.org/10.1177/0038040717739613
   Web of Science ®Google Scholar
• Camacho, A., Messina, J., & Uribe, J. P. (2016). The expansion of higher education in Colombia: Bad students or bad programs? Inter-American Development Bank Discussion paper. https://doi.org/https://doi.org/10.18235/0000303
   Google Scholar
• Carranza, J. E., & Ferreyra, M. M. (2017). Increasing higher education coverage: Supply expansion and student sorting in Colombia. Journal of Human Capital, 13(1), 95–136. https://doi.org/https://doi.org/10.1086/701435
   Web of Science ®Google Scholar
• Castro, J. F., & Yamada, G. (2013). Declining higher education quality affects postsecondary choices: A peruvian case. International Higher Education, 70(70), 1–6. https://doi.org/https://doi.org/10.6017/ihe.2013.70.8715
   Google Scholar
• Cuenca, A. (2016). Desigualdad de oportunidades en Colombia: Impacto del origen social sobre el desempeño académico y los ingresos de graduados universitarios. Estudios Pedagógicos Valdivia, 42 (2), 942–964. http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-07052016000200005
   Google Scholar
• Dill, D. D. (1997). Higher education markets and public policy. Higher Education Policy, 10(3–4), 167–185. https://doi.org/https://doi.org/10.1016/S0952-8733(97)00011-1
   Google Scholar
• Elsner, W., Heinrich, T., & Schwardt, H. (2014). The microeconomics of complex economies: Evolutionary, institutional, neoclassical, and complexity perspectives. Academic Press. https://doi.org/https://doi.org/10.1016/c2012-0-06498-8
   Google Scholar
• Erhardt, D., & von Kotzebue, A. (2016). Competition unleashed: Horizontal differentiation in German higher education. Tertiary Education and Management, 22(4), 333–358. https://doi.org/https://doi.org/10.1080/13583883.2016.1233993
   Web of Science ®Google Scholar
• Gasparini, L., Galiani, S., Cruces, G., & Acosta, P. (2011). Educational upgrading and returns to skills in latin america: Evidence from a supply-demand framework, 1990-2010 (Discussion paper series). https://doi.org/https://doi.org/10.3386/w24015
   Google Scholar
• Gibbs, P., & Murphy, P. (2009). Implementation of ethical higher education marketing. Tertiary Education and Management, 15(4), 341–354. https://doi.org/https://doi.org/10.1080/13583880903335472
   Google Scholar
• Guarín, A., Londoño, S., Medina-Durango, C. A., Parra, J., Posso-Suárez, C. M., & Vélez, C. E. (2016). Estimating the effect of attending a public versus a private university in Colombia on academic achievement. Borradores de Economía, 968. https://doi.org/https://doi.org/10.32468/be.968
   Google Scholar
• Hemsley-Brown, J., & Oplatka, I. (2006). Universities in a competitive global marketplace: A systematic review of the literature on higher education marketing. International Journal of Public Sector Management, 19(4), 316–338. https://doi.org/https://doi.org/10.1108/09513550610669176
   Google Scholar
• Jantan, H., Hamdan, A. R., & Othman, Z. A. (2011). Talent knowledge acquisition using data mining classification techniques. 2011 3rd Conference on Data Mining and Optimization (DMO), 32–37. https://doi.org/https://doi.org/10.1109/DMO.2011.5976501
   Google Scholar
• Kamal Basha, N., Sweeney, J. C., & Soutar, G. N. (2016). International students’ university preferences: How different are malaysian and chinese students? International Journal of Educational Management, 30(2), 197–210. https://doi.org/https://doi.org/10.1108/ijem-08-2014-0122
   Web of Science ®Google Scholar
• Koshal, R. K., & Koshal, M. (1999). Demand and supply of educational serice: A case of liberal arts colleges. Education Economics, 7(2), 121–130. http://www.tandfonline.com/doi/abs/ https://doi.org/10.1080/09645299900000011
   Google Scholar
• Koshal, R. K., Koshal, M., Boyd, R., & Levine, J. (1994). Tuition at phd-granting institutions: A supply and demand model. Education Economics, 2(1), 29–44. https://doi.org/https://doi.org/10.1080/09645299400000003
   Google Scholar
• Lebart, L., Morineau, A., & Piron, M. (1995). Statistique exploratory multidimensionelle. Dunod. https://doi.org/https://doi.org/10.1080/09645299400000003
   Google Scholar
• Lin, W. T., Wang, S. J., Wu, Y. C., & Ye, T. C. (2011). An empirical analysis on auto corporation training program planning by data mining techniques. Expert Systems with Applications, 38(5), 5841–5850. https://doi.org/https://doi.org/10.1016/j.eswa.2010.11.038
   Web of Science ®Google Scholar
• Olssen, M., & Peters, M. A. (2005). Neoliberalism, higher education and the knowledge economy: From the free market to knowledge capitalism. Journal of Education Policy, 20(3), 313–345. https://doi.org/https://doi.org/10.1080/02680930500108718
   Web of Science ®Google Scholar
• Patrinos, H. A. (1990). The privatization of higher education in colombia: Effects on quality and equity. Higher Education, 20(2), 161–173. https://doi.org/https://doi.org/10.1007/BF00143699
   Web of Science ®Google Scholar
• Pilz, M. (2016). Typologies in comparative vocational education: Existing models and a new approach. Vocations and Learning, 9(3), 295–314. https://doi.org/https://doi.org/10.1007/s12186-016-9154-7
   Web of Science ®Google Scholar
• Riggert, S. C., Boyle, M., Petrosko, J. M., Ash, D., & Rude-Parkins, C. (2006). Student employment and higher education: empiricism and contradiction. Review of Educational Research, 76(1), 63–92. https://doi.org/https://doi.org/10.3102/00346543076001063
   Web of Science ®Google Scholar
• Romero, C., & Ventura, S. (2010). Educational data mining: A review of the state of the art. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 40(6), 601–618. https://doi.org/https://doi.org/10.1109/TSMCC.2010.2053532
   Web of Science ®Google Scholar
• Savage, G. C. (2013). Tailored equities in the education market: Flexible policies and practices. Discourse, 34(2), 185–201. https://doi.org/https://doi.org/10.1080/01596306.2013.770246
   Web of Science ®Google Scholar
• Shavelson, R. J., Domingue, B. W., Mariño, J. P., Molina Mantilla, A., Morales Forero, A., & Wiley, E. E. (2016). On the practices and challenges of measuring higher education value added: The case of Colombia. Assessment and Evaluation in Higher Education, 41(5), 695–720. https://doi.org/https://doi.org/10.1080/02602938.2016.1168772
   Web of Science ®Google Scholar
• Shtudiner, Z., Zwilling, M., & Kantor, J. (2017). Field of study choice: Using conjoint analysis and clustering. International Journal of Educational Management, 31(2), 179–188. https://doi.org/https://doi.org/10.2139/ssrn.2732594
   Web of Science ®Google Scholar
• Tao, H. L. (2006). The demand for higher education and a test of the extreme screening hypothesis. Education Economics, 14(1), 75–88. https://doi.org/https://doi.org/10.1080/09645290500481899
   Google Scholar
• Tierney, M. L. (1983). Student college choice sets: Toward an empirical characterization. Research in Higher Education, 18(3), 271–284. https://doi.org/https://doi.org/10.1007/BF00979600
   Web of Science ®Google Scholar
• Van Der Maaten, L. J. P., & Hinton, G. E. (2008). Visualizing high-dimensional data using t-sne. Journal of Machine Learning Research, 9(11), 2579–2605. https://www.jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdf?fbclid=IwAR0Bgg1eA5TFmqOZeCQXsIoL6PKrVXUFaskUKtg6yBhVXAFFvZA6yQiYx-M
   Google Scholar
• Viktor, H. L., Peña, I., & Paquet, E. (2012). Who are our clients: Consumer segmentation through explorative data mining. International Journal of Data Mining, Modelling and Management, 4(3), 286. http://www.inderscience.com/link.php?id=48109
   Google Scholar