Volume 8, Issue 32 (9-2018)                   jemr 2018, 8(32): 217-243 | Back to browse issues page

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Goli Y. Evaluation of the Factor Affecting on Education Expenditure (Tobit Model Approach). jemr. 2018; 8 (32) :217-243
URL: http://jemr.khu.ac.ir/article-1-1665-en.html
Abstract:   (497 Views)
One of the main goals of many households is to improve the quality of their children by increasing their education expenditure. This study investigates the factors affecting on education expenditure as measure of quality of children by using the Households’ Income and Expenditure survey dataset over 2010-2014 and utilizing Tobit  models. The result of Tobit shows that with addition of one person to the number of children, amount of education expenses per child reduces about 0.0064 billion Rial. But the effect of increasing one unit in the years of education of the head and mother of the household increases the educational expenditures by as much as 0.038 and 0.0548 billion Rial respectively. Therefore Becker’s theory of child quality-quantity tradeoff is confirmed, so the household has tendency increase educational expenditure per child and improve the quality of child by decreasing the number of children. Therefore, given the increasing quality of children, the development of production infrastructure for employing high-quality labor is an important step in increasing labor productivity and economic development in macro-level.
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Type of Study: Applicable | Subject: سایر
Received: 2018/02/6 | Accepted: 2018/07/18 | Published: 2018/09/12

References
1. Abraham, V., & Sasikumar, S. K. (2011). Labor cost and export behavior of firms in Indian textile and clothing industry. Economics, Management and Financial Markets, 6(1), 258.
2. Becker, G. S. (1960). An Economic Analysis of Fertility. In Demographic and Economic Change in Developed Countries. Universities National Bureau Conferences Series, No.11. Priceton, N.J.: Princeton University Press.
3. Binder, M. (1998). Family Background, Gender and Schooling in Mexico, Journal of Development Economics, 35(2): 54-71. [DOI:10.1080/00220389808422564]
4. Blanden, J. & P. Gregg. (2004). Family Income and Educational Attainment: A Review of Approaches and Evidence for Britain, Oxford Review of Economic Policy, 20: 245 -63. [DOI:10.1093/oxrep/20.2.245]
5. Bray, T. M. (1999). The shadow education system: Private tutoring and its implications for planners. UNESCO International Institute for Educational Planning.
6. Cameron, A.C. Trivedi, P.K. (2009). Microeconometrics using Stata. A Stata Press Publication, Texas.
7. Chandrasekhar, S., Rani, P. G., & Sahoo, S. (2016). Household Expenditure on Higher Education in India: What do we know & What do recent data have to say? (No. 2016-030). Indira Gandhi Institute of Development Research, Mumbai, India.‌
8. Dang, H. A. H., & Rogers, F. H. (2015). The decision to invest in child quality over quantity: Household size and household investment in education in Vietnam. The World Bank Economic Review, 30(1), 104-142.‌ [DOI:10.2139/ssrn.2628927]
9. Deng, Q, & Xue, J. (2014). Multivariate Tobit System Estimation of Education Expenditure in Urban China. The Singapore Economic Review, 59(1): 1-14. [DOI:10.1142/S0217590814500052]
10. Donkoh, S.A. & Amikuzuno, J. A.(2011). The Determinants of Household Education Expenditure in Ghana. Educational Research and Reviews, 6(8): 570-579.
11. Eisazadeh S, Naziri M K, Naeini H.(2018).The Effect of Skill Mismatch on Unemployment Rate in Iran. Journal of Economic Modeling Research. 8 (30) :79-107.
12. Farajadi, G A., & Vahidi, P. (2000). Human Resources, Training and Labor Market, Management and Planning Organization.
13. Gharun , M. (2004). Effects of Family Socio - economic Status on Demands for Higher Education. Quarterly Journal of Research and Planning in Higher Education. 9 (4) :43-74.
14. Hajebi E, Razmi M J.(2016). Effect of Women's Higher Education on Economic Growth in Some OPEC and North Africa Countries. Journal of Economic Modeling Research. 6 (24) :175-200. [DOI:10.18869/acadpub.jemr.6.24.175]
15. Kenayathulla, H. B. (2013). Household Expenditures on Private Tutoring: Emerging Evidence from Malaysia. Asia Pacific Education. Review, 14(4): 629-644. [DOI:10.1007/s12564-013-9289-2]
16. Keshavarz Haddad, G; Habibi, N (2016), Why the Youth are So Eager for Academic Education? Evidence from Iran's Labor Market, Working Paper Series.
17. Keshavarz Haddad, G; Habibi, N. (2015). Vertical Skill Mismatch Incidence and Wage Consequences in Low-Skill Jobs: Evidence from Iran's Labor Market, International Labor Review, Accepted Article.
18. Kim, S, & Lee j.H. (2010). Private Tutoring and Demand for Education in South Korea. Economic Development and Cultural Change, 58(2): 259-296. [DOI:10.1086/648186]
19. McDonald, J.F, Moffitt, R.A. (1980). The Uses of Tobit Analysis. The Review of Economics Publication, New Delhi, India. [DOI:10.2307/1924766]
20. Mehrbani V. (2017). Economic Analysis of the Effect of Family Size on Educational Achievement of Children. The Economic Research (Sustainable Growth and Development).17 (1) :163-187
21. Mehrbani, V. (2016). The Effect of Higher Education on the Productivity of Iranian Industries: Comparing Human Capital and Filter Theories. Economics Research, 16(62): 137-158.
22. Mosazadeh, I. (2014).The relationship between higher education and economic growth in other countries. Tejarat-e-Farda Weekly, vol 97.
23. Nishimura, M., & Yamano, T. (2013). Emerging private education in Africa: Determinants of school choice in rural Kenya. World Development, 43, 266-275.‌ [DOI:10.1016/j.worlddev.2012.10.001]
24. Nkurunziza, J., Broekhuis, A., & Hooimeijer, P. (2017). Do poverty reduction programmes foster education expenditure? New evidence from Rwanda. Journal of Asian and African Studies, 52(4), 425-443.‌ [DOI:10.1177/0021909615595988]
25. Pallegedara, A., & Mottaleb, K. A. (2018). Patterns and determinants of private tutoring: The case of Bangladesh households. International Journal of Educational Development, 59, 43-50. [DOI:10.1016/j.ijedudev.2017.10.004]
26. Qian, J. & R. Smyth. (2010). Educational Expenditure in Urban China: Income Effects, Family Characteristics and the Demand for Domestic and Overseas Education, Applied Economics, 43(24):1-16. [DOI:10.1080/00036841003636292]
27. Quang, H.V. (2012). Determinants of Educational Expenditure in Vietnam. International Journal of Applied Economics,9(1): 59-72.
28. Rizk, R., & Owusu-Afriyie, J. (2014). Determinants of household expenditure on children's education in Egypt. International Journal of Education Economics and Development, 5(4), 332-360.‌ [DOI:10.1504/IJEED.2014.067194]
29. Tansel, A, & Bircan, F. (2006). Demand for Education in Turkey: A Tobit Analysis of Private Tutoring Expenditures. Economics of Education Review, 25(3): 303-313. [DOI:10.1016/j.econedurev.2005.02.003]
30. Zhang, Y., & Zhou, X. (2017). Can Higher Household Education Expenditure Improve the National College Entrance Exam Performance? Empirical Evidence from Jinan, China. Current Issues in Comparative Education, 19(2), 8-32.

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