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Moving teachers to Malawi's remote communities : a data-driven approach to teacher deployment

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  • Asim,Salman
  • Chimombo,Joseph P. G.
  • Chugunov,Dmitry
  • Gera,Ravinder Madron Casley

Abstract

There are severe geographical disparities in pupil-teacher ratios (PTR) across Malawi, with most teachers concentrated near commercial centers and in rural schools with better amenities. Most of the variation in PTR is concentrated in small sub-district areas, suggesting a central role for micro-geographic factors in teacher distribution. Employing administrative data from several government sources, regression analysis reveals that school-level factors identified by teachers as desirable are closely associated with PTR, including access to roads, electricity, and water, and distance to the nearest trading center, suggesting a central role for teachers'interests in PTR variation. Political economy network mapping reveals that teachers leverage informal networks and political patronage to resist placement in remote schools, while administrative officials are unable to stand up to these formal and informal pressures, in part because of a lack of reliable databases and objective criteria for the allocation of teachers. This study curates a systematic database of the physical placement of all teachers in Malawi and links it with data on school facilities and geo-spatial coordinates of commercial centers. The study develops a consistent and objective measure of school remoteness, which can be applied to develop policies to create rules for equitable deployments and targeting of incentives. Growing awareness of disparities in PTRs among district education officials is already showing promising improvements in targeting of new teachers. Simulation results of planned policy applications show significant potential impacts of fiscally-neutral approaches to targeted deployments of new cohorts, as well as retention of teachers through data-calibrated incentives.

Suggested Citation

  • Asim,Salman & Chimombo,Joseph P. G. & Chugunov,Dmitry & Gera,Ravinder Madron Casley, 2017. "Moving teachers to Malawi's remote communities : a data-driven approach to teacher deployment," Policy Research Working Paper Series 8253, The World Bank.
  • Handle: RePEc:wbk:wbrwps:8253
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    References listed on IDEAS

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    1. 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.
    2. Geeta Kingdon & Mohd. Muzammil, 2009. "A Political Economy of Education in India: The Case of Uttar Pradesh," Oxford Development Studies, Taylor & Francis Journals, vol. 37(2), pages 123-144.
    3. Barbieri, Gianna & Rossetti, Claudio & Sestito, Paolo, 2011. "The determinants of teacher mobility: Evidence using Italian teachers’ transfer applications," Economics of Education Review, Elsevier, vol. 30(6), pages 1430-1444.
    4. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    5. Eric A. Hanushek & EJohn F. Kain & Steven G. Rivkin, 2004. "Why Public Schools Lose Teachers," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    6. Devarajan, Shantayanan & Khemani, Stuti & Walton, Michael, 2011. "Civil society, public action and accountability in Africa," Policy Research Working Paper Series 5733, The World Bank.
    7. Mae Chu Chang & Sheldon Shaeffer & Samer Al-Samarrai & Andrew B. Ragatz & Joppe de Ree & Ritchie Stevenson, 2014. "Teacher Reform in Indonesia : The Role of Politics and Evidence in Policy Making," World Bank Publications - Books, The World Bank Group, number 16355, December.
    8. Bridges,Katherine & Woolcock,Michael, 2017. "How (not) to fix problems that matter : assessing and responding to Malawi's history of institutional reform," Policy Research Working Paper Series 8289, The World Bank.
    9. Aidan Mulkeen, 2010. "Teachers in Anglophone Africa : Issues in Teacher Supply, Training, and Management," World Bank Publications - Books, The World Bank Group, number 13545, December.
    10. World Bank, 2010. "The Education System in Malawi," World Bank Publications - Books, The World Bank Group, number 5937, December.
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    Cited by:

    1. Torsten Figueiredo Walter, 2020. "Misallocation in the Public Sector? Cross-Country Evidence from Two Million Primary Schools," STICERD - Economic Organisation and Public Policy Discussion Papers Series 70, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

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    More about this item

    Keywords

    Educational Institutions&Facilities; Educational Sciences; Effective Schools and Teachers;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

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