Measuring and Explaining Management in Schools: New Approaches Using Public Data

83 Pages Posted: 15 Nov 2019

See all articles by Clare Leaver

Clare Leaver

University of Oxford

Renata Freitas Lemos

World Bank

Daniela Scur

Cornell University - Charles H. Dyson School of Applied Economics and Management; Cornell SC Johnson College of Business

Multiple version iconThere are 2 versions of this paper

Date Written: November 6, 2019

Abstract

Why do some students learn more in some schools than others? One consideration receiving growing attention is school management. To study this, researchers need to be able to measure school management accurately and cheaply at scale, and also explain any observed relationship between school management and student learning. This paper introduces a new approach to measurement using existing public data, and applies it to build a management index covering 15,000 schools across 65 countries, and another index covering nearly all public schools in Brazil. Both indices show a strong, positive relationship between school management and student learning. The paper then develops a simple model that formalizes the intuition that strong management practices might be driving learning gains via incentive and selection effects among teachers, students and parents. The paper shows that the predictions of this model hold in public data for Latin America, and draws out implications for policy.

Keywords: Economics of Education, Education Finance, Educational Sciences, Effective Schools and Teachers, Educational Institutions & Facilities, Public Sector Administrative and Civil Service Reform, De Facto Governments, Democratic Government, Administrative & Civil Service Reform, Public Sector Administrative & Civil Service Reform

Suggested Citation

Leaver, Clare and Lemos, Renata Freitas and Scur, Daniela, Measuring and Explaining Management in Schools: New Approaches Using Public Data (November 6, 2019). World Bank Policy Research Working Paper No. 9053, Available at SSRN: https://ssrn.com/abstract=3485938

Clare Leaver (Contact Author)

University of Oxford ( email )

Mansfield Road
Oxford, OX1 4AU
United Kingdom

Renata Freitas Lemos

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Daniela Scur

Cornell University - Charles H. Dyson School of Applied Economics and Management ( email )

Ithaca, NY
United States

Cornell SC Johnson College of Business ( email )

Ithaca, NY 14850
United States

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