Does data matter? Statewide longitudinal data systems and student performance in the U.S

Laura Raisa Miloş, Benaissa Chidmi and Marius Cristian Miloş

Applied Economics Letters, 2019, vol. 26, issue 16, 1369-1372

Abstract: Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.

Date: 2019
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DOI: 10.1080/13504851.2018.1558342

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