Quality Adjusting Education Sector Productivity

Norman Gemmell, Patrick Nolan, Grant Scobie
2018 Policy Quarterly  
This article examines how quality-adjusted productivity indices for the education sector may be constructed and proposes methods for making such adjustments to basic measures of labour and multifactor productivity growth. Results highlight the need for careful measurement, showing that measures unadjusted for quality are unlikely to provide sufficiently robust signals about changes in productivity performance in the education sector on which policy advice could be built. Our evidence suggests
more » ... at quality adjustment to both inputs and outputs can make substantial differences to conclusions about productivity growth trends over 2000–15 compared with unadjusted indices.
doi:10.26686/pq.v14i3.5102 fatcat:ixkgf4urzvbbll4r2n4ehregh4