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The perils of endogeneity and instrumental variables in strategy research: Understanding through simulations

Semadeni, Matthew, Withers, Michael C., Trevis Certo, S.·2014·Strategic Management Journal

Abstract

In this paper we use simulations to examine how endogeneity biases the results reported by ordinary least squares ( OLS ) regression. In addition, we examine how instrumental variable techniques help to alleviate such bias. Our results demonstrate severe bias even at low levels of endogeneity. Our results also illustrate how instrumental variables produce unbiased coefficient estimates, but instrumental variables are associated with extremely low levels of statistical power. Finally, our simulations highlight how stronger instruments improve statistical power and that endogenous instruments can report results that are inferior to those reported by OLS regression. Based on our results, we provide a series of recommendations for scholars dealing with endogeneity . Copyright © 2013 John Wiley & Sons, Ltd.

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Metadata

Authors
Semadeni, M., Withers, M. C., & Trevis Certo, S.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2013-06-25
Volume
35
Issue
7
Pages
1070-1079
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2122529124
Cited by
739
References
2
FWCI
17.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The perils of endogeneity and instrumental variables in strategy research: Understanding through simulations. https://app.cochat.ai/papers/10.1002/smj.2136
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Semadeni, M., Withers, M. C., & Trevis Certo, S. (2014). The perils of endogeneity and instrumental variables in strategy research: Understanding through simulations. Strategic Management Journal. https://doi.org/10.1002/smj.2136

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