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Record W255866508

Lost Opportunity: Increased Economic Growth, Fueled by Improvements in Student Performance, Might Have Funded the Nation's Entire K-12 Education Budget by Now. (Feature)

2003· article· en· W255866508 on OpenAlexaboutno aff
Eric A. Hanushek

Bibliographic record

VenueEducation next · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsEconomic growthQuarter (Canadian coin)EconomicsQuality (philosophy)Natural experimentDemographic economicsPolitical scienceAccountingGeography
DOInot available

Abstract

fetched live from OpenAlex

THE CONCERNS ABOUT SCHOOL QUALITY EXPRESSED IN A Nation at Risk reflected declining trends in performance among U.S. students and their mediocre standing relative to students in other nations. America's failure to address these concerns has led to substantial losses for individuals and for society as a whole. The workers who failed to acquire essential skills can attest to the fact that their earnings have not kept up with those of the typical worker. And the aggregate effects are even more dramatic. By some estimates, today's entire K-12 education budget could be funded by the reform dividend that might have been expected from improving math and science achievement in response to the calls of the 1983 report. To wit, improvements in the schools would have boosted U.S. economic growth, and the annual windfall by 2002 would have exceeded total K-12 spending for that year. Quality Matters Much of the research on the economic impact of education has properly concentrated on the role of school attainment--that is, the quantity of schooling. This focus is natural. The revolution in the United States during the 20th century was the universal provision of a basic education. Moreover, years of schooling are easily measured, and data on years attained, both over time and across individuals, are readily available. Yet today's policy concerns revolve around issues of quality much more than of quantity. Completion rates for high school and college have been roughly constant for a quarter of a century in the United States, while the rest of the industrialized world has largely caught up on measures of school attainment. Risk was more concerned with the fact that U.S. students had fallen behind their peers in nations like Japan, the Netherlands, and France on international exams in math and science (see Figure 4, page 44, in Paul E. Peterson, Ticket to Nowhere). These concerns sparked the standards and accountability movement, which seeks to define what students should learn and tests to see whether they have mastered the material. In good part because of the impact of the Risk report, it is now generally recognized that students' cognitive skills are a crucial dimension of education quality. But it has not, until recently, been clear just how important differences in cognitive skill are for the long-term well-being of a nation's economy. Fortunately, data are now available that allow one to estimate the connection between cognitive skill and the economy. The conclusions of this emerging body of research are clear: education quality, as measured by test scores, is positively related to the earnings of individuals, national productivity, and economic growth. Individual Earnings Just as most parents believe, economists have clearly shown that a student's achievement in school directly affects his or her earnings later in life, after allowing for differences in the quantity of schooling, experience in the labor force, and a variety of other factors that also influence earnings. Students who do well in school also tend to go on for further schooling, which provides an additional boost to their earnings. As is well known, the economic benefits of a college education have risen dramatically during the past quarter century, and substantial evidence shows that students with good grades or high scores on achievement tests tend to pursue more education. These facts are part of the reason that so much attention has been paid to the schools as an agency of equal opportunity, ultimately helping to reduce inequities in the distribution of income. Long before the Risk report, the War on Poverty saw schools as key to reducing racial and other disparities in economic opportunity. Through schooling it was hoped that family poverty would not be transferred to the next generation: high-quality school investments would make up for deficits originating in the home. Today, many believe that the continuing difference between the earnings of black and white workers is due in good part to differences in their educational achievement, as measured by tests of cognitive ability. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.160
Threshold uncertainty score0.535

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.1600.060

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.302
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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