Interpreting Empirical Results in Strategy and Management Research

Research output: Chapter in Book/Report/Conference proceedingChapter

34 Scopus citations

Abstract

As a field, we should put more emphasis on interpreting the magnitude of coefficient estimates rather than only assessing statistical significance. To support this claim, I demonstrate how focusing only on statistical significance can lead to incorrect and incomplete conclusions in many common applications of the linear regression model. Moreover, I demonstrate why interpreting coefficient estimates in common non-linear estimators (e.g., probit, logit, Poisson, and negative binomial estimators) requires additional care compared to the linear regression model.

Original languageEnglish (US)
Title of host publicationResearch Methodology in Strategy and Management
EditorsDavid Ketchen, Donald Bergh
Pages273-293
Number of pages21
DOIs
StatePublished - 2007

Publication series

NameResearch Methodology in Strategy and Management
Volume4
ISSN (Print)1479-8387

Bibliographical note

Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.

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