Education Research and Administrative Data

David N Figlio, K. Karbownik, K. G. Salvanes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments developed large-scale, comprehensive data files on tax programs, workforce information, benefit programs, health, and education. While these data are collected for purely administrative purposes, they represent remarkable new opportunities for expanding our knowledge. This chapter describes some of the benefits and challenges associated with the use of administrative data in education research. We also offer specific case studies of data that have been developed in both the Nordic countries and the United States, and offer an (incomplete) inventory of data sets used by social scientists to study education questions on every inhabited continent on earth.

Original languageEnglish (US)
Title of host publicationHandbook of the Economics of Education, 2016
EditorsStephen Machin, Ludger Woessmann, Eric A. Hanushek
PublisherElsevier.
Pages75-138
Number of pages64
ISBN (Print)9780444634597
DOIs
StatePublished - Jan 1 2016

Publication series

NameHandbook of the Economics of Education
Volume5
ISSN (Print)1574-0692

    Fingerprint

Keywords

  • Administrative data
  • Education registers
  • Education research
  • Empirical methods
  • Linked data

ASJC Scopus subject areas

  • Education
  • Economics and Econometrics

Cite this

Figlio, D. N., Karbownik, K., & Salvanes, K. G. (2016). Education Research and Administrative Data. In S. Machin, L. Woessmann, & E. A. Hanushek (Eds.), Handbook of the Economics of Education, 2016 (pp. 75-138). (Handbook of the Economics of Education; Vol. 5). Elsevier.. https://doi.org/10.1016/B978-0-444-63459-7.00002-6