IDEAS home Printed from https://ideas.repec.org/a/lpe/efijnl/202111.html
   My bibliography  Save this article

The Impact of School Operational Assistance Program Implementation at School Level on Senior Secondary Education Enrollment by Households: Evidence from Indonesia in 2007 and 2014

Author

Listed:
  • Fairuzah Pertiwi Kartasasmita

    (Faculty of Economics and Business Universitas Gadjah Mada)

  • Eny Sulistyaningrum

    (Faculty of Economics and Business Universitas Gadjah Mada)

Abstract

Education is recognized worldwide as one of the key elements in developing the human capital of a nation for a prosperous future. Given an almost universal enrollment in primary education, many governments have shifted their focus on students’ motivation to continue to and finish their secondary education. The government of Indonesia has made extensive efforts in widening participation in education. With a growing budget for educational expenditure, various government programs have been implemented to assist students in their learning. One such program is the School Operational Assistance Program (BOS), which has been running for two decades. This paper reports on a study aimed to investigate the impact of the implementation of BOS at a school level on senior secondary school enrollment by households using data obtained from the Indonesia Family Life Survey (IFLS) recorded in 2007 and 2014. By using Propensity Score Matching (PSM), it was found that students whose schools received BOS during their primary education years were more likely to continue their education to senior secondary education than those whose schools did not receive BOS. This shows that a school subsidy could encourage students to continue their education, particularly for students coming from poorer households.

Suggested Citation

  • Fairuzah Pertiwi Kartasasmita & Eny Sulistyaningrum, 2021. "The Impact of School Operational Assistance Program Implementation at School Level on Senior Secondary Education Enrollment by Households: Evidence from Indonesia in 2007 and 2014," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 67, pages 163-182, Desember.
  • Handle: RePEc:lpe:efijnl:202111
    as

    Download full text from publisher

    File URL: http://www.lpem.org/repec/lpe/efijnl/202111.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    3. A. Z. Nowak & Gangadhar Dahal, 2016. "The contribution of education to economic growth: Evidence from Nepal," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 5(2), pages 22-41, June.
    4. Samer Al-Samarrai & Hassan Zaman, 2007. "Abolishing School Fees in Malawi: The Impact on Education Access and Equity," Education Economics, Taylor & Francis Journals, vol. 15(3), pages 359-375.
    5. Pierre Dubois & Alain de Janvry & Elisabeth Sadoulet, 2012. "Effects on School Enrollment and Performance of a Conditional Cash Transfer Program in Mexico," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 555-589.
    6. Gangadhar Dahal, 2016. "The contribution of education to economic growth: Evidence from Nepal," Proceedings of International Academic Conferences 3606124, International Institute of Social and Economic Sciences.
    7. Evan Borkum, 2012. "Can Eliminating School Fees in Poor Districts Boost Enrollment? Evidence from South Africa," Economic Development and Cultural Change, University of Chicago Press, vol. 60(2), pages 359-398.
    8. Priscila Hermida, 2015. "Who Benefits from the Elimination of School Enrolment Fees? Evidence from Ecuador," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, December.
    9. Asep Suryahadi & Sudarno Sumarto & Lant Pritchett, 2003. "Evolution of Poverty During the Crisis in Indonesia," Asian Economic Journal, East Asian Economic Association, vol. 17(3), pages 221-241, September.
    10. Xinzheng Shi, 2016. "The Impact of Educational Fee Reduction Reform on School Enrolment in Rural China," Journal of Development Studies, Taylor & Francis Journals, vol. 52(12), pages 1791-1809, December.
    11. Khiem, Phuong Huu & Linh, Dinh Hong & Tai, Do Anh & Dung, Nguyen Dac, 2020. "Does tuition fee policy reform encourage poor children’s school enrolment? Evidence from Vietnam," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 109-124.
    12. Behrman, Jere R & Sengupta, Piyali & Todd, Petra, 2005. "Progressing through PROGRESA: An Impact Assessment of a School Subsidy Experiment in Rural Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 54(1), pages 237-275, October.
    13. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    14. César Martinelli & Susan W. Parker, 2008. "Do School Subsidies Promote Human Capital Investment among the Poor?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(2), pages 261-276, June.
    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. Patni Ninghardjanti & Wiedy Murtini & Aniek Hindrayani & Khresna B. Sangka, 2023. "Evaluation of the Smart Indonesia Program as a Policy to Improve Equality in Education," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

    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. Khiem, Phuong Huu & Linh, Dinh Hong & Tai, Do Anh & Dung, Nguyen Dac, 2020. "Does tuition fee policy reform encourage poor children’s school enrolment? Evidence from Vietnam," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 109-124.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 59, pages 3787-3846, Elsevier.
    4. David K. Evans & Arkadipta Ghosh, 2008. "Prioritizing Educational Investments in Children in the Developing World," Working Papers WR-587, RAND Corporation.
    5. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    6. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    7. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 21, RWI - Leibniz-Institut für Wirtschaftsforschung.
    8. Paweł Strawiński, 2013. "Controlling for overlap in matching," Working Papers 2013-10, Faculty of Economic Sciences, University of Warsaw.
    9. Murat G. Kırdar & Meltem Dayıoğlu & İsmet Koç, 2016. "Does Longer Compulsory Education Equalize Schooling by Gender and Rural/Urban Residence?," The World Bank Economic Review, World Bank, vol. 30(3), pages 549-579.
    10. Paul Glewwe, 2002. "Schools and Skills in Developing Countries: Education Policies and Socioeconomic Outcomes," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 436-482, June.
    11. Pierre Dubois & Alain de Janvry & Elisabeth Sadoulet, 2012. "Effects on School Enrollment and Performance of a Conditional Cash Transfer Program in Mexico," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 555-589.
    12. Nikolov, Plamen & Jimi, Nusrat & Chang, Jerray, 2020. "The Importance of Cognitive Domains and the Returns to Schooling in South Africa: Evidence from Two Labor Surveys," Labour Economics, Elsevier, vol. 65(C).
    13. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    14. Chaonan Lu & Litao Duan & Geng Peng & Benfu Lv, 2020. "The Promotion Effect of the Belt and Road Initiative on China’s Foreign Direct Investment: An Empirical Analysis Based on Firm Level," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(11), pages 1220-1231, November.
    15. Lopez-Acevedo, Gladys, 2005. "Evaluation of National School for Professional Technology Education in Mexico," Policy Research Working Paper Series 3572, The World Bank.
    16. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    17. David K. Evans & Arkadipta Ghosh, 2008. "Prioritizing Educational Investments in Children in the Developing World," Working Papers 587, RAND Corporation.
    18. Sun, Yue & Zhao, Liqiu & Zhao, Zhong, 2024. "Hukou Status and Children's Education in China," IZA Discussion Papers 16763, Institute of Labor Economics (IZA).
    19. Xi Zhang & Scott Rozelle, 2022. "Education Universalization, Rural School Participation, and Population Density," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 4-30, July.
    20. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.

    More about this item

    Keywords

    BOS; school subsidy; propensity score matching; enrolment;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

    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:lpe:efijnl:202111. 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: Muhammad Halley Yudhistira (email available below). General contact details of provider: https://edirc.repec.org/data/feuinid.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.