Improving Learning in Low- and Lower-Middle-Income Countries

The current challenge of education systems is learning. Across low-income countries (LICs) and lower-middle-income countries (LMCs), 62 % of 10-year-olds could not read at a minimally sufficient level in 2015. This study provides an overview of recent spending on education and its correlation with learning outcomes. We show that the relationship between education spending and learning is historically weak. From 2000 to 2015, LICs and LMCs increased spending on education in primary schools by ~$137 per student, an 80 % inflation-adjusted increase, with no corresponding change on the average learning outcomes. We then conduct a benefit-cost analysis of candidate interventions that could increase learning at low cost. Two interventions – structured pedagogy and, teaching at the right level, with and without a technology component generate large benefit-cost ratios. If deployed uniformly to reach 90 % of the 467 million students in LICs and LMCs, these interventions would cost on average $18 per student per year or $7.6 billion annually, generating $65 in benefits for every $1 spent. The economic logic behind this finding is that the hard and costly work of getting children into primary schools has mostly been accomplished, leaving open the possibility of learning interventions that improve the efficiency of the existing education system at low cost. Our results show that increasing education expenditure by just 6 % could increase learning by 120 % if directed toward these highly cost-effective interventions.

[1]  N. Angrist,et al.  Building Resilient Education Systems: Evidence from Large-Scale Randomized Trials in Five Countries , 2023, SSRN Electronic Journal.

[2]  N. Angrist,et al.  Experimental evidence on learning using low-tech when school is out , 2022, Nature Human Behaviour.

[3]  David K. Evans,et al.  How Big Are Effect Sizes in International Education Studies? , 2022, Educational Evaluation and Policy Analysis.

[4]  H. Patrinos,et al.  Measuring human capital using global learning data , 2021, Nature.

[5]  João Pedro Azevedo,et al.  Will Every Child be Able to Read by 2030? Defining Learning Poverty and Mapping the Dimensions of the Challenge , 2021 .

[6]  Deon Filmer,et al.  How to Improve Education Outcomes Most Efficiently? A Comparison of 150 Interventions using the New Learning-Adjusted Years of Schooling Metric , 2020, Policy Research Working Papers.

[7]  R. Banerji,et al.  A twenty-year partnership of practice and research: The Nobel laureates and Pratham in India , 2020 .

[8]  S. Al-Samarrai,et al.  Mobilizing Resources for Education and Improving Spending Effectiveness: Establishing Realistic Benchmarks Based on Past Trends , 2019 .

[9]  David K. Evans,et al.  Equivalent Years of Schooling: A Metric to Communicate Learning Gains in Concrete Terms , 2019 .

[10]  D. Filmer,et al.  Learning-Adjusted Years of Schooling (LAYS): Defining a New Macro Measure of Education , 2018, Economics of Education Review.

[11]  B. Piper,et al.  Scaling up successfully: Lessons from Kenya’s Tusome national literacy program , 2018, Journal of Educational Change.

[12]  Ciara Keenan,et al.  The trials of evidence-based practice in education: a systematic review of randomised controlled trials in education research 1980–2016 , 2018, Educational Research.

[13]  Margaret M. Dubeck,et al.  Identifying the essential ingredients to literacy and numeracy improvement: Teacher professional development and coaching, student textbooks, and structured teachers’ guides , 2018, World Development.

[14]  K. Muralidharan,et al.  Double for Nothing? Experimental Evidence on an Unconditional Teacher Salary Increase in Indonesia , 2017 .

[15]  Elizabeth L. Turner,et al.  Improving Literacy Instruction in Kenya Through Teacher Professional Development and Text Messages Support: A Cluster Randomized Trial , 2017 .

[16]  Harini Kannan,et al.  Mainstreaming an Effective Intervention: Evidence from Randomized Eavluations of 'Teaching at the Right Level' in India , 2016 .

[17]  Jong‐Wha Lee,et al.  Human capital in the long run , 2016 .

[18]  Stephanie Simmons Zuilkowski,et al.  Does technology improve reading outcomes? Comparing the effectiveness and cost-effectiveness of ICT interventions for early grade reading in Kenya , 2016 .

[19]  A. Khwaja,et al.  Report Cards: The Impact of Providing School and Child Test Scores on Educational Markets , 2014 .

[20]  J. Heckman,et al.  Labor market returns to an early childhood stimulation intervention in Jamaica , 2014, Science.

[21]  J. Hoddinott,et al.  The Economic Rationale for Investing in Stunting Reduction , 2013, Maternal & child nutrition.

[22]  Robert T. Jensen,et al.  The (Perceived) Returns to Education and the Demand for Schooling , 2010 .

[23]  E. Hanushek,et al.  Quality‐Consistent Estimates of International Schooling and Skill Gradients , 2009, Journal of Human Capital.

[24]  Esther Duflo,et al.  Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya , 2008 .

[25]  J. Heckman Skill Formation and the Economics of Investing in Disadvantaged Children , 2006, Science.

[26]  C. Jackson,et al.  NBER WORKING PAPER SERIES THE EFFECTS OF SCHOOL SPENDING ON EDUCATIONAL AND ECONOMIC OUTCOMES: EVIDENCE FROM SCHOOL FINANCE REFORMS , 2015 .

[27]  R. Feenstra,et al.  Online Appendix to: The Next Generation of the Penn World Table* , 2015 .

[28]  K. Muralidharan Priorities for Primary Education Policy in India’s 12th Five-year Plan , 2013 .