Education Research and Administrative Data

Figlio, David N.; Karbownik, Krzysztof; Salvanes, Kjell G.

doi:10.1016/b978-0-444-63459-7.00002-6

Cited by 23 publications

(15 citation statements)

References 369 publications

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“…Because the NCERDC data contain linked data for multiple cohorts, we can exploit within-school changes in the demographic composition of the teaching force over time. Finally, another advantage is that data on the entire population of students provide the statistical power necessary to implement school-specific time trend models and within-family (sibling) comparisons (Figlio et al 2015), which we exploit in the sensitivity analysis.…”

Section: Datamentioning

confidence: 99%

The Long-Run Impacts of Same-Race Teachers

Gershenson

Hart

Hyman³

et al. 2018

285

208

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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Section: Datamentioning

confidence: 99%

The Long-Run Impacts of Same-Race Teachers

Gershenson

Hart

Hyman³

et al. 2018

285

208

View full text Add to dashboard Cite

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“…Beyond the UK, there is an impressive body of work that has drawn on administrative data largely from Scandinavian countries (and some US states) to investigate the relationship between parental income and children's outcomes Figlio, Karbownik and Salvanes (). Much of this work estimates causal impacts of parental income or education on children's educational outcomes (e.g.…”

Section: Existing Literaturementioning

confidence: 99%

Is Improving Access to University Enough? Socio‐Economic Gaps in the Earnings of English Graduates

et al. 2019

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Much research and policy attention has been on socio-economic gaps in participation at university, but less attention has been paid to socio-economic gaps in graduates' earnings. This paper addresses this shortfall using tax and student loan administrative data to investigate the variation in earnings of English graduates by socio-economic background. We find that graduates from higher income families (with median income of around 77,000) have average earnings which are 20% higher than those from lower income families (with median income of around £26,000). Once we condition on institution and subject choices, this premium roughly halves, to around 10%. The premium grows with age and is larger for men, in particular for men at the most selective universities. We estimate the extent to which different institutions and subjects appear to deliver good earnings for relatively less well off students, highlighting the strong performance of medicine, economics, law, business, engineering, technology and computer science, as well as the prominent London-based universities.

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“…Administrative social science data may also be large, complex and multi-dimensional. Historically, social scientists have had very limited access to administrative records, with the exception of the register-based data sets of the Nordic counties (Figlio et al, 2015;Wallgren and Wallgren, 2007). The state of access to administrative data for social science research is at varying stages in the USA (Card et al, 2010), Canada (Doiron et al, 2013) and Western Australia (Holman et al, 2008).…”

Section: Statistical Analysis Using Micro-level Administrative Socialmentioning

confidence: 99%

Administrative social science data: The challenge of reproducible research

et al. 2016

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Powerful new social science data resources are emerging. One particularly important source is administrative data, which were originally collected for organisational purposes but often contain information that is suitable for social science research. In this paper we outline the concept of reproducible research in relation to micro-level administrative social science data. Our central claim is that a planned and organised workflow is essential for high quality research using microlevel administrative social science data. We argue that it is essential for researchers to share research code, because code sharing enables the elements of reproducible research. First, it enables results to be duplicated and therefore allows the accuracy and validity of analyses to be evaluated. Second, it facilitates further tests of the robustness of the original piece of research. Drawing on insights from computer science and other disciplines that have been engaged in e-Research we discuss and advocate the use of Git repositories to provide a useable and effective solution to research code sharing and rendering social science research using micro-level administrative data reproducible.

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Education Research and Administrative Data

Cited by 23 publications

References 369 publications

The Long-Run Impacts of Same-Race Teachers

The Long-Run Impacts of Same-Race Teachers

Is Improving Access to University Enough? Socio‐Economic Gaps in the Earnings of English Graduates

Administrative social science data: The challenge of reproducible research

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