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School inputs, household substitution, and test scores

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  • Das, Jishnu
  • Dercon, Stefan
  • Habyarimana, James
  • Krishnan, Pramila
  • Muralidharan, Karthik
  • Sundararaman, Venkatesh

Abstract

Empirical studies of the relationship between school inputs and test scores typically do not account for the fact that households will respond to changes in school inputs. This paper presents a dynamic household optimization model relating test scores to school and household inputs, and tests its predictions in two very different low-income country settings -- Zambia and India. The authors measure household spending changes and student test score gains in response to unanticipated as well as anticipated changes in school funding. Consistent with the optimization model, they find in both settings that households offset anticipated grants more than unanticipated grants. They also find that unanticipated school grants lead to significant improvements in student test scores but anticipated grants have no impact on test scores. The results suggest that naïve estimates of public education spending on learning outcomes that do not account for optimal household responses are likely to be considerably biased if used to estimate parameters of an education production function.

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Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 5629.

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Date of creation: 01 Apr 2011
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Handle: RePEc:wbk:wbrwps:5629

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Keywords: Tertiary Education; Education For All; Access to Finance; Teaching and Learning; Disability;

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References

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  1. Andrabi, Tahir & Das, Jishnu & Khwaja, Asim Ijaz & Zajonc, Tristan, 2009. "Do value-added estimates add value ? accounting for learning dynamics," Policy Research Working Paper Series 5066, The World Bank.
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Blog mentions

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  1. When blind is not beautiful
    by Matt in Aid Thoughts on 2014-04-15 09:30:58
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Cited by:
  1. Abeberese, Ama Baafra & Kumler, Todd J. & Linden, Leigh L., 2011. "Improving Reading Skills by Encouraging Children to Read: A Randomized Evaluation of the Sa Aklat Sisikat Reading Program in the Philippines," IZA Discussion Papers 5812, Institute for the Study of Labor (IZA).
  2. Esther Duflo & Pascaline Dupas & Michael Kremer, 2012. "School Governance, Teacher Incentives, and Pupil-Teacher Ratios: Experimental Evidence from Kenyan Primary Schools," NBER Working Papers 17939, National Bureau of Economic Research, Inc.
  3. Morduch, Jonathan & Ravi, Shamika & Bauchet, Jonathan, 2012. "Failure vs. Displacement: Why an Innovative Anti-Poverty Program Showed No Net Impact," CEI Working Paper Series 2012-05, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
  4. Elizabeth Beasley & Elise Huillery, 2013. "School Resources, Behavioral Responses and School Quality: Short-Term Experimental Evidence from Niger," Sciences Po publications info:hdl:2441/7o52iohb7k6, Sciences Po.
  5. Robert Jensen, 2012. "Do Labor Market Opportunities Affect Young Women's Work and Family Decisions? Experimental Evidence from India," The Quarterly Journal of Economics, Oxford University Press, vol. 127(2), pages 753-792.
  6. De Witte, Kristof & Geys, Benny & Solondz, Catharina, 2012. "Public expenditures, educational outcomes and grade inflation: Theory and evidence from a policy intervention in the Netherlands," Discussion Papers, Research Professorship & Project "The Future of Fiscal Federalism" SP II 2012-111, Social Science Research Center Berlin (WZB).
  7. Claudio Ferraz & Frederico Finan & Diana B. Moreira, 2012. "Corrupting Learning: Evidence from Missing Federal Education Funds in Brazil," NBER Working Papers 18150, National Bureau of Economic Research, Inc.
  8. Muralidharan, Karthik & Prakash, Nishith, 2013. "Cycling to School: Increasing Secondary School Enrollment for Girls in India," IZA Discussion Papers 7585, Institute for the Study of Labor (IZA).
  9. Karthik Muralidharan & Venkatesh Sundararaman, 2013. "The Aggregate Effect of School Choice: Evidence from a Two-stage Experiment in India," NBER Working Papers 19441, National Bureau of Economic Research, Inc.
  10. Morduch, Jonathan & Ravi, Shamika & Bauchet, Jonathan, 2013. "Substitution Bias and External Validity: Why an Innovative Anti-poverty Program Showed no Net Impact," CEI Working Paper Series 2013-03, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
  11. Gelber, Alexander & Isen, Adam, 2013. "Children's schooling and parents' behavior: Evidence from the Head Start Impact Study," Journal of Public Economics, Elsevier, vol. 101(C), pages 25-38.
  12. Fredriksson, Peter & Öckert, Björn & Oosterbeek, Hessel, 2014. "Inside the Black Box of Class Size: Mechanisms, Behavioral Responses, and Social Background," IZA Discussion Papers 8019, Institute for the Study of Labor (IZA).
  13. Ama Baafra Abeberese & Todd J. Kumler & Leigh L. Linden, 2011. "Improving Reading Skills by Encouraging Children to Read in School: A Randomized Evaluation of the Sa Aklat Sisikat Reading Program in the Philippines," NBER Working Papers 17185, National Bureau of Economic Research, Inc.
  14. Karthik Muralidharan & Venkatesh Sundararaman, 2013. "Contract Teachers: Experimental Evidence from India," NBER Working Papers 19440, National Bureau of Economic Research, Inc.
  15. Christoph Eder, 2013. "Displacement and Education of the Next Generation: Evidence from Bosnia and Herzegovina," HiCN Working Papers 152, Households in Conflict Network.
  16. Ama Baafra Abeberese, 2011. "Improving Reading Skills by Encouraging Children to Read: A Randomized Evaluation of the Sa Aklat Sisikat Reading Program in the Philippines," Working Papers id:4312, eSocialSciences.
  17. Alexander M. Gelber & Adam Isen, 2011. "Children’s Schooling and Parents’ Investment in Children: Evidence from the Head Start Impact Study," NBER Working Papers 17704, National Bureau of Economic Research, Inc.

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