More countries, similar results. A nonlinear programming approach to normalising test scores needed for growth regressions

Stellenbosch Working Paper Series No. WP12/2012
 
Publication date: 2012
 
Author(s):
[protected email address] (Department of Economics, University of Stellenbosch)
 
Abstract:

Analysts 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

 
JEL Classification:

C14, I28, O15

Keywords:

human capital, cross-country growth model, test score data, nonlinear programming, education policy, PISA, SACMEQ, SERCE

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BER Weekly

11 November 2019
Notwithstanding the apparent optimism surrounding President Cyril Ramaphosa's second Investment Conference last week, economic data released for Q3 disappointed. The consumer turned notably more pessimistic during the quarter, while the latest activity data from the country's secondary sector also paints a dismal picture for GDP. On the global front,...

Read the full issue