More countries, similar results. A nonlinear programming approach to normalising test scores needed for growth regressions
AbstractAnalysts such as Hanushek and Woessman have brought to the fore the deceptiveness of education enrolments, or years of schooling, in growth regressions and the need to consider educational quality. In this paper, a nonlinear programming solution is proposed as a way of normalising to a single scale country average test scores from various international testing programmes. This method, though less transparent and more dependent on certain subjective choices than the existing approach put forward by Hanushek and Woessman, allows for the inclusion of more countries, in particular more African and developing countries, into a growth regression. The regression produces the results one would expect, namely a strong conditional correlation between growth and educational quality. The utility of growth regressions with an educational quality variable for the education policymaker is discussed. A method for arriving at feasible annual improvements in educational quality and hence feasible country targets is presented
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Bibliographic InfoPaper provided by Stellenbosch University, Department of Economics in its series Working Papers with number 12/2012.
Date of creation: 2012
Date of revision:
human capital; cross-country growth model; test score data; nonlinear programming; education policy; PISA; SACMEQ; SERCE;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I28 - Health, Education, and Welfare - - Education - - - Government Policy
- O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-07-29 (All new papers)
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