Endogeneity in empirical marketing research is an increasingly discussed topic in academic research. Mentions of endogeneity and related procedures to correct for it have risen 5x across the field’s top journals in the past 20 years, but represent an overall small portion of extant research. Yet there is often substantial difficulty in reconciling issues of endogeneity with many of the substantive questions of interest to marketing strategy for both theoretical and/or practical reasons. This paper provides an overview of main causes of endogeneity, approaches to addressing it, and guidance to marketing strategy researchers to balance these issues as the field continues to move towards more methodological sophistication, potentially at the e...
The endogeneity of retail markups arises due to the correlation between the markups and unobserved c...
Most leadership and management researchers ignore one key design and estimation problem rendering pa...
In this article, we use four data sets to provide a benchmark study of the effects of accounting for...
Endogeneity bias represents a critical issue for the analysis of cause and effect relationships. Alt...
A current issue of potential concern in theory-based management accounting research is the extent to...
A current issue of potential concern in theory-based management accounting research is the extent to...
AbstractBig marketing data offers more interesting and challenging problems but along with greater o...
Endogeneity bias can lead to inconsistent estimates and incorrect inferences, which may provide misl...
Although researchers in business and management are becoming increasingly aware of the importance of...
Endogeneity issues in empirical research have received increasing academic attention. Tackling endog...
International audienceThis article offers a framework to understand how endogeneity arises and how t...
A regressor is endogenous if it is correlated with the unobserved residual of a model. Ignoring endo...
This article offers a framework to understand how endogeneity arises and how to control for it with ...
International audienceIn this paper we posit that the lack of consensus about empirical tests of res...
Partial least squares structural equation modeling (PLS-SEM) has become a key method in internationa...
The endogeneity of retail markups arises due to the correlation between the markups and unobserved c...
Most leadership and management researchers ignore one key design and estimation problem rendering pa...
In this article, we use four data sets to provide a benchmark study of the effects of accounting for...
Endogeneity bias represents a critical issue for the analysis of cause and effect relationships. Alt...
A current issue of potential concern in theory-based management accounting research is the extent to...
A current issue of potential concern in theory-based management accounting research is the extent to...
AbstractBig marketing data offers more interesting and challenging problems but along with greater o...
Endogeneity bias can lead to inconsistent estimates and incorrect inferences, which may provide misl...
Although researchers in business and management are becoming increasingly aware of the importance of...
Endogeneity issues in empirical research have received increasing academic attention. Tackling endog...
International audienceThis article offers a framework to understand how endogeneity arises and how t...
A regressor is endogenous if it is correlated with the unobserved residual of a model. Ignoring endo...
This article offers a framework to understand how endogeneity arises and how to control for it with ...
International audienceIn this paper we posit that the lack of consensus about empirical tests of res...
Partial least squares structural equation modeling (PLS-SEM) has become a key method in internationa...
The endogeneity of retail markups arises due to the correlation between the markups and unobserved c...
Most leadership and management researchers ignore one key design and estimation problem rendering pa...
In this article, we use four data sets to provide a benchmark study of the effects of accounting for...