PRIVATE EXPENDITURES OF TEACHER CANDIDATES STUDYING AT MERSIN UNIVERSITY, TÜRKIYE

Abstract

Private higher education expenditures constitute one of the factors determining higher education demand. In this study, it is aimed at determining the level and types of teacher candidates’ private expenditures, and the factors influencing the probability of making higher private expenditures. The sample of the study was drawn among the students enrolled in Mersin University Faculty of Education in 2013, 2016, 2019, and 2022. A model comprising five factors influencing the probability of making private expenditures higher than the average was developed. In this model educational background, family background, other cost related variables, higher education aspirations and future teaching labor market expectations were included as determining factors. Data were collected by a questionnaire developed by the researcher. Model was estimated by logistic regression analysis. Results show that variables representing all five factors have significant impact on the probability of making higher private expenditures. It is concluded that the model has a power on explaining the problem of the study.

Keywords

• Higher education demand
• cost of education
• teacher training students
• financing of higher education

References

1. Andrews, B.D. (2021). College costs and credit cards: How student credit card use influences college degree attainment. Research in Higher Education, 62(6), 885-913. https://doi.org/10.1007/s11162-020-09622-8
2. Beckker, K. De, Witte, K. De, & Campenhout G. Van. (2021). The effect of financial education on students’ consumer choices: Evidence from a randomized experiment. Journal of Economic Behavior and Organization, 188, 962-976.
3. Bettinger, E. (2015). Need-based aid and college persistence: The effects of the Ohio college opportunity grant. Educational Evaluation and Policy Analysis, 37(1S), 102S-119S https://doi.org/10.3102/0162373715576072
4. Bettinger, E.P., & Castleman, B.L., Choe, A., Mabel, Z. (2022). Finishing the last lap: Experimental evidence on strategies to increase attainment for students near college completion. Journal of Policy Analysis and Management, 41(4), 1040-1059. https://doi.org/10.1002/pam.22416
5. Bietenbeck, J., Leibing, A., Marcus, J., & Weinhardt, F. (2023). Tuition fees and educational attainment. European Economic Review, 154, 104431. https://doi.org/10.1016/j.euroecorev.2023.104431
6. Brint, S. (2022). Challenges for higher education in the United States: The cost problem and a comparison of remedies. European Journal of Education, 57(2), 181-198. https://doi.org/10.1111/ejed.12496
7. Broton, K.M., Goldrick-Rab, S., Benson, J. (2016). Working for college: The causal impacts of financial grants on undergraduate employment. Educational Evaluation and Policy Analysis, 38(3), 477-494. https://doi.org/10.1007/10.3102/0162373716638440
8. Cai, Z., & Heathcote, J. (2022). College tuition and income inequality. American Economic Review, 112(1), 81-121. https://doi.org/10.1257/aer.20181027

9. Callender, C., & Mason, G. (2017). Does student loan debt deter higher education participation? New evidence from England. Annals of the AAPSS, 671, 20-48. https://doi.org/10.1177/0002716217696041
10. Christensen, R. (1990). Log-linear models. New York: Springer-Verlag. ISBN: 978-0-38797398-2.
11. Dearden, L., Fitzsimons, E., Goodman, A., & Kaplan, G. (2008). Higher education funding reforms in England: The distributional effects and the shifting balance of costs. The Economic Journal, 118(526), F100–F125. https://doi.org/10.1111/j.1468-0297.2007.02118.x
12. Destin, M., & Svoboda, R.C. (2018). Costs on the Mind: The influence of the financial burden of college on academic performance and cognitive functioning. Research in Higher Education, 59(3), 302-324. https://doi.org/10.1007/s11162-017-9469-8
13. Donovan, K., & Herrington, C. (2019). Factors affecting college attainment and student ability in the U.S. since 1900. Review of Economic Dynamics, 31, 224-244. https://doi.org/10.1016/j.red.2018.07.003
14. Dur, R., Teulings, C., & Rens, T. Van. (2004). Should higher education subsidies depend on parental income? Oxford Review of Economic Policy, 20(2), 284-297. https://doi.org/10.1093/oxrep/grh016
15. Dündar, Ö., & Bülbül, T. (2022). Relations between university students’ perceptions of organizational image, levels of alienation and tendency to drop-out. MANAS Journal of Social Studies, 11(2), 522-541. https://dergipark.org.tr/en/download/article-file/2054878
16. Elliott, W., & Lewis, M. (2015). Student debt effects on financial well-being: Research and policy implications. Journal of Economic Surveys, 29(4), 614-636. https://doi.org/10.1111/joes.12124
17. Evans, B.J., Boatman, A., & Soliz, A. (2019). Framing and labeling effects in preferences for borrowing for college: An experimental analysis. Research in Higher Education, 60(5), 438-457. https://doi.org/10.1007/s11162-018-9518-y
18. Flaster, A. (2018). Kids, college, and capital: Parental financial support and college choice. Research in Higher Education, 59(8), 979-1020. https://doi.org/10.1007/s11162-018-9496-0
19. Furuta, K. (2021). Parental perceptions of university cost, fear of debt, and choice of high school in Japan. British Journal of Sociology of Education, 42(5-6), 667-685. https://doi.org/10.1080/01425692.2021.1896356
20. Gurantz, O., & Odle, T.K. (2022). The impact of merit aid on college choice and degree attainment: Reexamining Florida’s Bright Futures program. Educational Evaluation and Policy Analysis, 44(1), 79-104. https://doi.org/10.3102/01623737211030489
21. Gurgand, M., Lorenceau, A., & Mélonio, T. (2023). Student loans: Credit constraints and higher education in South Africa. Journal of Development Economics, 161, 103031. https://doi.org/10.1016/j.jdeveco.2022.103031
22. Gürkaynak, R.S., Kısacıkoğlu, B., & Lee, S.S. (2023). Exchange rate and inflation under weak monetary policy: Turkey verifies theory. Economic Policy, 38(115), 519-560. https://doi.org/10.1093/epolic/eiad020
23. Hassani-Nezhad, L., Anderberg, D., Chevalier, A., Lührmann, M, & Pavan, R. (2021). Higher education financing and the educational aspirations of teenagers and their parents. Economics of Education Review, 85, 102175. https://doi.org/10.1016/j.econedurev.2021.102175
24. Havranek, T., Irsova, Z., Zeynelova, O. (2018). Tuition fees and university enrolment: A meta-regression analysis. Oxford Bulletin of Economics and Statistics, 80(6), 1145-1184. https://doi.org/10.1111/obes.12240
25. Heo, E.J. (2023). Financial aid in college admissions: need‐based versus merit‐based. Social Choice and Welfare, 60(1-2), 265-297. https://doi.org/10.1007/s00355-022-01405-7
26. Ionescu, F., & Simpson, N. (2016). Default risk and private student loans: Implications for higher education policies. Journal of Economic Dynamics & Control, 64, 119-147. http://dx.doi.org/10.1016/j.jedc.2015.12.003
27. Jacob, B., McCall, B., & Strange, K. (2018). College as country club: Do colleges cater to students’ preferences for consumption? Journal of Labor Economics, 36(2), 309-348. https://doi.org/10.1086/694654
28. Jenkins, G.P., Anyabolu, H.A., & Bahramian, P. (2019). Family decision-making for educational expenditure: new evidence from survey data for Nigeria. Applied Economics, 51(52), 5663-5673. https://doi.org/10.1080/00036846.2019.1616075
29. Jongbloed, B., & Vossensteyn, H. (2016). University funding and student funding: international comparisons. Oxford Review of Economic Policy, 32(4), 576-595. https://doi.org/10.1093/oxrep/grw029
30. Jones, J.B., & Yang, F. (2016). Skill-biased technical change and the cost of higher education. Journal of Labor Economics, 34(3), 621-662. https://doi.org/10.1086/684856
31. Lavecchia, A.M., Oreopoulos, P., & Brown, R.S. (2020). Long-Run effects from comprehensive student support: Evidence from pathways to education. American Economic Review: Insights, 2(2), 209-224. https://doi.org/10.1257/aeri.20190114
32. Lee, J.C., Dell, M., González Canché, M.S., Monday, A., & Klafehn, A. (2021). The hidden costs of corroboration: Estimating the effects of financial aid verification on college enrollment. Educational Evaluation and Policy Analysis, 43(2), 233-252. https://doi.org/10.3102/0162373721989304
33. Lergetporer, P., Werner, K., & Woessmann, L. (2021). Does ignorance of economic returns and costs explain the educational aspiration gap? Representative evidence from adults and adolescents. Economica, 88(351), 624-670. https://doi.org/10.1111/ecca.12371
34. McGuigan, M., McNally, S., & Wyness, G. (2016). Student awareness of costs and benefits of educational decisions: Effects of an information campaign. Journal of Human Capital, 10(4), 482-519. https://doi.org/10.1086/689551
35. Neyt, B., Omey, E., Verhaest, D., & Baert, S. (2019). Does student work really affect educational outcomes? A review of the literature. Journal of Economic Surveys, 33(3), 896-921. https://doi.org/10.1111/joes.12301
36. Nienhusser, H.K., & Oshio, T. (2017). High school students’ accuracy in estimating the cost of college: A proposed methodological approach and differences among racial/ethnic groups and college financial-related factors. Research in Higher Education, 58(7), 723-745. https://doi.org/10.1007/s11162-017-9447-1
37. Page, L., Garboua, L.L., & Montmarquette, C. (2007). Aspiration levels and educational choices: An experimental study. Economics of Education Review, 26(6), 748-758. https://doi.org/ 10.1016/j.econedurev.2007.06.001
38. Pigini, C., & Staffolani, S. (2016). Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy. Higher Education, 71(1), 119-142. https://doi.org/10.1007/s10734-015-9892-8
39. Shireman, R. (2017). Learn now, pay later: A history of income-contingent student loans in the United States. Annals of the AAPSS, 671, 184-201. https://doi.org/10.1177/0002716217701673
40. TCMB (2024). Annual Average USD/TRY Exchange Rates (Buying). Retrieved from https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket/#collapse_2 on 29 January 2024.
41. TÜİK (2024). Annual national account statistics. Retrieved from https://biruni.tuik.gov.tr/medas/?kn=136&locale=en on 18 March 2024.
42. Vandenberghe, V., & Debande, O. (2008). Refinancing Europe's higher education through deferred and income-contingent fees: An empirical assessment using Belgian, German & UK data. European Journal of Political Economy, 24(2) 364-386. https://doi.org/10.1016/j.ejpoleco.2007.09.005
43. Wright, N.A. (2021). Need-based financing policies, college decision-making, and labor market behavior: Evidence from Jamaica. Journal of Development Economics, 150, 102617. https://doi.org/10.1016/j.jdeveco.2020.102617