IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp3637.html
   My bibliography  Save this paper

Does Private Tutoring Payoff?

Author

Listed:
  • Gurun, Ayfer

    (Southern Methodist University)

  • Millimet, Daniel L.

    (Southern Methodist University)

Abstract

We assess the causal effect of private tutoring on the probability of university placement in Turkey. We find that tutoring increases the probability of being placed in a university when non-random selection is ignored. Moreover, among those utilizing private tutoring, greater expenditure on tutoring is also positively associated with university placement. However, we find evidence of positive selection into tutoring, but negative selection into greater expenditures among those receiving tutoring. Accounting for this pattern of non-random selection, we conclude that private tutoring has a negative causal effect on university placement overall, but conditional on receiving any tutoring, spending more on tutoring has a positive causal effect on university placement.

Suggested Citation

  • Gurun, Ayfer & Millimet, Daniel L., 2008. "Does Private Tutoring Payoff?," IZA Discussion Papers 3637, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3637
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp3637.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Tansel, AysIt & Bircan, Fatma, 2006. "Demand for education in Turkey: A tobit analysis of private tutoring expenditures," Economics of Education Review, Elsevier, vol. 25(3), pages 303-313, June.
    3. Dang, Hai-Anh & Rogers, F. Halsey, 2008. "How to interpret the growing phenomenon of private tutoring : human capital deepening, inequality increasing, or waste of resources ?," Policy Research Working Paper Series 4530, The World Bank.
    4. Aysit Tansel & Fatma Bircan, 2008. "Private Supplementary Tutoring in Turkey Recent Evidence on Its Various Aspects," ERC Working Papers 0802, ERC - Economic Research Center, Middle East Technical University, revised Apr 2008.
    5. Ferraro, Paul J. & McIntosh, Craig & Ospina, Monica, 2007. "The effectiveness of the US endangered species act: An econometric analysis using matching methods," Journal of Environmental Economics and Management, Elsevier, vol. 54(3), pages 245-261, November.
    6. Tansel, Aysit & Bircan, Fatma, 2005. "Effect of Private Tutoring on University Entrance Examination Performance in Turkey," IZA Discussion Papers 1609, Institute of Labor Economics (IZA).
    7. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Minimizing Bias in Selection on Observables Estimators When Unconfoundness Fails," IZA Discussion Papers 3632, Institute for the Study of Labor (IZA).
    8. Dang, Hai-Anh, 2007. "The determinants and impact of private tutoring classes in Vietnam," Economics of Education Review, Elsevier, vol. 26(6), pages 683-698, December.
    9. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Minimizing Bias in Selection on Observables Estimators When Unconfoundness Fails," IZA Discussion Papers 3632, Institute of Labor Economics (IZA).
    10. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    11. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2008. "Using Selection on Observed Variables to Assess Bias from Unobservables When Evaluating Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 345-350, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mehtabul Azam, 2016. "Private Tutoring: Evidence from India," Review of Development Economics, Wiley Blackwell, vol. 20(4), pages 739-761, November.
    2. Bisma Haseeb Khan & Sahar Amjad Shaikh, 2013. "Analyzing the Market for Shadow Education in Pakistan: Does Private Tuition Affect the Learning Gap between Private and Public Schools?," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(Special E), pages 129-160, September.
    3. Changhui Kang & Yoonsoo Park, 2021. "Private Tutoring and Distribution of Student Academic Outcomes: An Implication of the Presence of Private Tutoring for Educational Inequality," Korean Economic Review, Korean Economic Association, vol. 37, pages 287-326.
    4. Ian K. McDonough & Constant I. Tra, 2017. "The impact of computer-based tutorials on high school math proficiency," Empirical Economics, Springer, vol. 52(3), pages 1041-1063, May.
    5. Loyalka, Prashant & Zakharov, Andrey, 2016. "Does shadow education help students prepare for college? Evidence from Russia," International Journal of Educational Development, Elsevier, vol. 49(C), pages 22-30.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Berberoglu, Giray & Tansel, Aysit, 2014. "Does private tutoring increase students’ academic performance? Evidence from Turkey," MPRA Paper 57370, University Library of Munich, Germany.
    2. Changhui Kang & Yoonsoo Park, 2021. "Private Tutoring and Distribution of Student Academic Outcomes: An Implication of the Presence of Private Tutoring for Educational Inequality," Korean Economic Review, Korean Economic Association, vol. 37, pages 287-326.
    3. Hoon Choi & Álvaro Choi, 2015. "“When one door closes: the impact of the hagwon curfew on the consumption of private tutoring in the Republic of Korea”," AQR Working Papers 201512, University of Barcelona, Regional Quantitative Analysis Group, revised Nov 2015.
    4. Zhang, Yu, 2013. "Does private tutoring improve students’ National College Entrance Exam performance?—A case study from Jinan, China," Economics of Education Review, Elsevier, vol. 32(C), pages 1-28.
    5. Lockwood Reynolds, C., 2012. "Where to attend? Estimating the effects of beginning college at a two-year institution," Economics of Education Review, Elsevier, vol. 31(4), pages 345-362.
    6. Farchaini Budi Astuti & Ujang Sumarwan & Ibnul Qayim, 2016. "Prevalence for Private Tuition among Parents, Teachers and Pupils in Public Primary Schools in Machakos County," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 3(3), pages 115-123.
    7. Choi, Hoon & Choi, Álvaro, 2016. "Regulating private tutoring consumption in Korea: Lessons from another failure," International Journal of Educational Development, Elsevier, vol. 49(C), pages 144-156.
    8. Susan Averett & Sabrina Terrizzi & Yang Wang, 2017. "The Effect of Sorority Membership on Eating Disorders, Body Weight, and Disordered‐Eating Behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 875-891, July.
    9. Hsiao-Lei Chu, 2015. "Private Tutoring, Wealth Constraint and Higher Education," Pacific Economic Review, Wiley Blackwell, vol. 20(4), pages 608-634, October.
    10. ZHAO, Guochang, 2015. "Can money ‘buy’ schooling achievement? Evidence from 19 Chinese cities," China Economic Review, Elsevier, vol. 35(C), pages 83-104.
    11. Weinstein, Russell, 2018. "Employer screening costs, recruiting strategies, and labor market outcomes: An equilibrium analysis of on-campus recruiting," Labour Economics, Elsevier, vol. 55(C), pages 282-299.
    12. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    13. Bisma Haseeb Khan & Sahar Amjad Shaikh, 2013. "Analyzing the Market for Shadow Education in Pakistan: Does Private Tuition Affect the Learning Gap between Private and Public Schools?," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(Special E), pages 129-160, September.
    14. Bray, Mark & Zhan, Shengli & Lykins, Chad & Wang, Dan & Kwo, Ora, 2014. "Differentiated demand for private supplementary tutoring: Patterns and implications in Hong Kong secondary education," Economics of Education Review, Elsevier, vol. 38(C), pages 24-37.
    15. Nicole Black & Johannes S. Kunz, 2019. "The Intergenerational Effects of Language Proficiency on Child Health Outcomes," Monash Economics Working Papers 05-19, Monash University, Department of Economics.
    16. Fowdur, Lona & Kadiyali, Vrinda & Prince, Jeffrey, 2012. "Racial bias in expert quality assessment: A study of newspaper movie reviews," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 292-307.
    17. Greenstone, Michael & Gayer, Ted, 2009. "Quasi-experimental and experimental approaches to environmental economics," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 21-44, January.
    18. Christiane Hinerasky, 2014. "Advances in Training Evaluation - Psychological, Educational, Economic, and Econometric Perspectives on the Kirkpatrick Model," Working Papers Dissertations 14, Paderborn University, Faculty of Business Administration and Economics.
    19. Pallegedara, Asankha & Mottaleb, Khondoker Abdul, 2018. "Patterns and determinants of private tutoring: The case of Bangladesh households," International Journal of Educational Development, Elsevier, vol. 59(C), pages 43-50.
    20. Johannes S. Kunz & Kevin E. Staub, 2016. "Subjective Completion Beliefs and the Demand for Post-Secondary Education," SOEPpapers on Multidisciplinary Panel Data Research 878, DIW Berlin, The German Socio-Economic Panel (SOEP).

    More about this item

    Keywords

    tutoring; Turkey; tertiary education; program evaluation;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp3637. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.