Management Faculty Publications and Presentations
Document Type
Article
Publication Date
2-2023
Abstract
Researchers striving to ensure rigor in their scientific findings face a common pitfall: Endogeneity. To tackle this problem, scholars have increasingly adopted instrumental variables estimation (IVE). Although there are many published works showing how IVE should be used, many applied researchers still have trouble understanding how to use the method correctly. In this article, we provide a methodological overview of IVE by discussing the underlying conditions valid instruments must satisfy as well as common mistakes made in using IVE. Using simulated data, we further demonstrate the sensitivity of IVE to violations of its conditions. We then take stock of the literature in a social science discipline (i.e., leadership research) and provide insights regarding trends and shortcomings in the application of IVE. Based on our review, we categorize the different types of instruments used and discuss the potential appropriateness of each type. We conclude by providing non–technical guidelines targeted at the study design, analysis, and reporting phases, which will help applied social science researchers to ensure they use IVE correctly.
Recommended Citation
Bastardoz, N., Matthews, M.J., Sajons, G.B., Ransom, T., Kelemen, T.K. and Matthews, S.H., 2023. Instrumental variables estimation: Assumptions, pitfalls, and guidelines. The Leadership Quarterly, 34(1), p.101673. https://doi.org/10.1016/j.leaqua.2022.101673
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Title
The Leadership Quarterly
DOI
https://doi.org/10.1016/j.leaqua.2022.101673
Comments
Original published version available at https://doi.org/10.1016/j.leaqua.2022.101673