Endogeneity - how failure to correct for it can cause wrong inferences and some remedies

By W. Abdallah, M. Goergen, N. O’Sullivan. 2015

252 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/d976caf3e8a0d940789bf17dd11863f33340e2ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Chaudhry Ghafran
2. N. O’Sullivan

In Economics and Econometrics

1. Chaudhry Ghafran
2. N. O’Sullivan

In Finance

1. Chaudhry Ghafran
2. N. O’Sullivan

Citations in the corpus

• Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, unknown): “Causality is an important aspect that must be addressed before proceeding to hypotheses test (Abdallah et al., 2015; Guide and Ketokivi, 2015).”
• The impact of audit committee expertise on audit quality: Evidence from UK audit fees (2017, background): “As highlighted by Abdallah et al. (2015) the issue of endogeneity can be especially pertinent in the case of corporate governance research where not only can explanatory variables influence the dependent variable but also there exists the possibility that the dependent variable itself may influence…”