The Use of Instrumental Variables in Higher Education Research

Kata Orosz, Viorel Proteasa, Daniela Craciun

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Higher education researchers are often challenged by the difficulty of empirically validating causal links posited by theories or inferred from correlational observations. The instrumental variable (IV) estimation strategy is one approach that researchers can use to estimate the causal impact of various higher education–related interventions. In this chapter, we discuss how the body of quantitative research specifically devoted to higher education has made use of the IV estimation strategy: we describe how this estimation strategy was used to address causality concerns and provide examples of the types of IVs that were used in various subfields of higher education research. Our discussion is based on a systematic review of a corpus of econometric studies on higher education–related issues that spans the last 30 years. The chapter concludes with a critical discussion of the use of IVs in quantitative higher education research and a discussion of good practices when using an IV estimation strategy.
Original languageEnglish
Title of host publicationTheory and Method in Higher Education Research
EditorsJeroen Huisman, Malcolm Tight
PublisherEmerald Insight
Chapter4
Pages61-80
Number of pages19
Volume6
ISBN (Electronic)978-1-80043-320-5
ISBN (Print)978-1-80043-321-2
DOIs
Publication statusPublished - 9 Nov 2020

Publication series

NameTheory and Method in Higher Education Research
PublisherEmerald Publishing
Volume6

Keywords

  • Higher education
  • Education research
  • Quantitative methods
  • Regression analysis
  • Instrumental variables
  • Endogeneity
  • Econometrics

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