IDEAS home Printed from https://ideas.repec.org/p/csa/wpaper/2004-25.html
   My bibliography  Save this paper

When Can School Inputs Improve Test Scores?

Author

Listed:
  • Jishnu Das
  • Stefan Dercon
  • James Habyarimana
  • Pramila Krishnan

Abstract

Most studies fail to find an impact of school inputs on outcomes such as test scores. We argue that this might be a consequence of ignoring the possibility that households respond optimally to changes in school inputs and thus obscure the real effect of such provision on cognitive achievement. To incorporate the forward-looking behaviour of households, we present a household optimization model relating household resources and cognitive achievement to school inputs. In this framework if household and school inputs are technical substitutes in the production function for cognitive achievement, the impact of unanticipated inputs is larger than that of anticipated inputs. We test the predictions of the model for non-salary cash grants to schools using a unique data set from Zambia. We find that household educational expenditures and school cash grants are substitutes with a coeffcient of elasticity between -0.35 and -0.52. Consistent with the optimization model, anticipated funds have no impact on cognitive achievement, but unanticipated funds lead to significant improvements in learning. We are thus able both to order the effects of different kinds of spending and capture their impact on cognitive achievement.

Suggested Citation

  • Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan, 2004. "When Can School Inputs Improve Test Scores?," CSAE Working Paper Series 2004-25, Centre for the Study of African Economies, University of Oxford.
    • Handle: RePEc:csa:wpaper:2004-25
    as

    Download full text from publisher

    File URL: https://ora.ox.ac.uk/objects/uuid:0f18aea4-f75d-445b-80e0-b202d4e23543
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rosenzweig, Mark R & Wolpin, Kenneth I, 1994. "Parental and Public Transfers to Young Women and Their Children," American Economic Review, American Economic Association, vol. 84(5), pages 1195-1212, December.
    2. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    3. Carolyn Jenkins, 1997. "The politics of economic policy making in Zimbabwe after Independence," CSAE Working Paper Series 1997-13a, Centre for the Study of African Economies, University of Oxford.
    4. Thomas J. Kane & Douglas O. Staiger, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall.
    5. Hanan G. Jacoby, 2002. "Is There an Intrahousehold "Flypaper Effect"? Evidence From a School Feeding Programme," Economic Journal, Royal Economic Society, vol. 112(476), pages 196-221, January.
    6. Bengt Holmstrom, 1982. "Moral Hazard in Teams," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 324-340, Autumn.
    7. Foster, Andrew D, 1995. "Prices, Credit Markets and Child Growth in Low-Income Rural Areas," Economic Journal, Royal Economic Society, vol. 105(430), pages 551-570, May.
    8. Hanan G. Jacoby & Emmanuel Skoufias, 1997. "Risk, Financial Markets, and Human Capital in a Developing Country," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(3), pages 311-335.
    9. Gary S. Becker & Nigel Tomes, 1994. "Human Capital and the Rise and Fall of Families," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 257-298, National Bureau of Economic Research, Inc.
    10. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    11. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    12. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    13. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    14. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    15. Deon Filmer & Lant Pritchett, 1999. "The Effect of Household Wealth on Educational Attainment: Evidence from 35 Countries," Population and Development Review, The Population Council, Inc., vol. 25(1), pages 85-120, March.
    16. Thomas J. Kane & Douglas O. Staiger, 2001. "Improving School Accountability Measures," NBER Working Papers 8156, National Bureau of Economic Research, Inc.
    17. Ablo, Emmanuel & Reinikka, Ritva, 1998. "Do budgets really matter? - evidence from public spending on education and health in Uganda," Policy Research Working Paper Series 1926, The World Bank.
    18. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    19. Paul Glewwe & Hanan Jacoby, 1994. "Student Achievement and Schooling Choice in Low-Income Countries: Evidence from Ghana," Journal of Human Resources, University of Wisconsin Press, vol. 29(3), pages 843-864.
    20. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    21. Stefan Dercon & Pramila Krishnan, 2000. "In Sickness and in Health: Risk Sharing within Households in Rural Ethiopia," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 688-727, August.
    22. Joshua D. Angrist & Victor Lavy, 1997. "Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement," NBER Working Papers 5888, National Bureau of Economic Research, Inc.
    23. 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.
    24. Urquiola, Miguel, 2001. "Identifying class size effects in developing countries : evidence from rural schools in Bolivia," Policy Research Working Paper Series 2711, The World Bank.
    25. World Bank, 2001. "Zambia - Public Expenditure Review : Public Expenditure, Growth and Poverty - A Synthesis," World Bank Publications - Reports 15461, The World Bank Group.
    26. Hanushek, Eric, 1971. "Teacher Characteristics and Gains in Student Achievement: Estimation Using Micro Data," American Economic Review, American Economic Association, vol. 61(2), pages 280-288, May.
    27. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, October.
    28. Alderman, Harold & Behrman, Jere R & Khan, Shahrukh & Ross, David R & Sabot, Richard, 1997. "The Income Gap in Cognitive Skills in Rural Pakistan," Economic Development and Cultural Change, University of Chicago Press, vol. 46(1), pages 97-122, October.
    Full references (including those not matched with items on IDEAS)

    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. Behrman, Jere R., 2010. "Investment in Education Inputs and Incentives," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4883-4975, Elsevier.
    2. Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan & Karthik Muralidharan & Venkatesh Sundararaman, 2013. "School Inputs, Household Substitution, and Test Scores," American Economic Journal: Applied Economics, American Economic Association, vol. 5(2), pages 29-57, April.
    3. Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan, 2007. "Teacher Shocks and Student Learning: Evidence from Zambia," Journal of Human Resources, University of Wisconsin Press, vol. 42(4).
    4. Orazem, Peter & Glewwe, Paul & Patrinos, Harry, 2007. "The Benefits and Costs of Alternative Strategies to Improve Educational Outcomes," Staff General Research Papers Archive 12853, Iowa State University, Department of Economics.
    5. Orazem, Peter F. & King, Elizabeth M., 2008. "Schooling in Developing Countries: The Roles of Supply, Demand and Government Policy," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 55, pages 3475-3559, Elsevier.
    6. Das, Jishnu, 2004. "Equity in educational expenditures : can government subsidies help?," Policy Research Working Paper Series 3249, The World Bank.
    7. Bratti, Massimiliano & Mendola, Mariapia, 2014. "Parental health and child schooling," Journal of Health Economics, Elsevier, vol. 35(C), pages 94-108.
    8. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    9. Nobuhiko FUWA & Seiro ITO & Kensuke KUBO & Takashi KUROSAKI & Yasuyuki SAWADA, 2006. "Introduction To A Study Of Intrahousehold Resource Allocation And Gender Discrimination In Rural Andhra Pradesh, India," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 375-397, December.
    10. Miguel Urquiola, 2015. "Progress and challenges in achieving an evidence-based education policy in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-30, December.
    11. Glewwe, Paul & Kremer, Michael, 2006. "Schools, Teachers, and Education Outcomes in Developing Countries," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 16, pages 945-1017, Elsevier.
    12. Andrabi, Tahir & Das, Jishnu & Khwaja, Asim Ijaz & Zajonc, Tristan, 2009. "Here Today, Gone Tomorrow? Examining the Extent and Implications of Low Persistence in Child Learning," Working Paper Series rwp09-001, Harvard University, John F. Kennedy School of Government.
    13. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    14. Tsaneva, Magda, 2017. "Does school Matter? Learning outcomes of Indonesian children after dropping out of school," World Development Perspectives, Elsevier, vol. 6(C), pages 1-10.
    15. Richard Mussa, 2013. "Rural--urban differences in parental spending on children's primary education in Malawi," Development Southern Africa, Taylor & Francis Journals, vol. 30(6), pages 789-811, December.
    16. Abbi M. Kedir & Ibrahim,Gamal, 2012. "Household-Level Credit Constraints in Urban Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 20(1), September.
    17. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    18. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    19. Ludger Wossmann, 2010. "Families, schools and primary-school learning: evidence for Argentina and Colombia in an international perspective," Applied Economics, Taylor & Francis Journals, vol. 42(21), pages 2645-2665.

    More about this item

    JEL classification:

    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household

    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:csa:wpaper:2004-25. 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: Julia Coffey (email available below). General contact details of provider: https://edirc.repec.org/data/csaoxuk.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.