PISA The High Cost of Low Educational Performance The Long-run Economic Impact of Improving PISA Outcomes: The Long-run Economic Impact of Improving PISA OutcomesOECD Publishing, Jan 25, 2010 - 56 pages This report uses recent economic modelling to relate cognitive skills – as measured by PISA and other international instruments – to economic growth, demonstrating that relatively small improvements to labour force skills can largely impact the future well-being of a nation. The report also shows that it is the quality of learning outcomes, not the length of schooling, which makes the difference. A modest goal of all OECD countries boosting their average PISA scores by 25 points over the next 20 years would increase OECD gross domestic product by USD 115 trillion over the lifetime of the generation born in 2010. More aggressive goals could result in gains in the order of USD 260 trillion. |
Other editions - View all
PISA The High Cost of Low Educational Performance The Long-run Economic ... OECD No preview available - 2010 |
Common terms and phrases
23 OECD countries 25 points aggregate analysis Annex annual growth rate assume average annual growth average test scores Barro basic billion USD PPP calculations causal cognitive skills conditional convergence current GDP developed different ISATs discount rate Discounted value economic growth educational performance effect empirical endogenous growth models estimated impact factors Figure Finland future increases GDP per capita GDP until 2090 growth regressions Hanushek and Woessmann human capital Iceland impact of cognitive improve student performance increases in GDP International Mathematics international tests labour force literacy long-run growth mathematics mathematics and science measures of cognitive model economic nations ofthe participating countries percentage points Philippe Aghion PISA scale PISA tests potential present value projections provides reform sample school attainment Science Study share of students simulations social discount rate specific standard deviation statistical models Stern Review technologies TIMSS Trends trillion underlying United value of future Woessmann 2009