Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Abdallah, Wissam ORCID: https://orcid.org/0000-0001-6038-2387, Goergen, Marc ORCID: https://orcid.org/0000-0003-4391-2651 and O'Sullivan, Noel 2015. Endogeneity: how failure to correct for it can cause wrong inferences and some remedies. British Journal of Management 26 (4) , pp. 791-804. 10.1111/1467-8551.12113

[thumbnail of BJM methodology corner - audit fees - full paper (3rd revision - final).pdf]
Preview
PDF - Accepted Post-Print Version
Download (852kB) | Preview

Abstract

Although researchers in business and management are becoming increasingly aware of the importance of endogeneity affecting regression analysis, they frequently do not have the right methodological toolkit to adjust for this issue. In this paper we discuss such a toolkit. There are also areas in business and management research which to date seem to be mostly oblivious about the endogeneity issue. We highlight such an area, which studies the question of whether firms that are cross-listed on a foreign stock exchange are charged premium fees by their auditors. When the same methodology (pooled ordinary least squares) as in the existing literature is used, the existence of an audit fee premium for cross-listed firms seems to be confirmed. However, once methodologies are used which adjust for the various types of endogeneity (i.e. omitted variable bias, simultaneous and dynamic endogeneity) there is no longer support for the existence of such a generalized premium. Hence, not only do we illustrate that failure to adjust for endogeneity has severe consequences such as drawing the wrong inferences, but we also review various ways to control for the different types of endogeneity.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > HB Economic Theory
Additional Information: Article first published online: 16 JUL 2015
Publisher: Wiley
ISSN: 1045-3172
Date of First Compliant Deposit: 30 March 2016
Last Modified: 17 Nov 2023 04:50
URI: https://orca.cardiff.ac.uk/id/eprint/74718

Citation Data

Cited 100 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics