Interpreting Empirical Results in Strategy and Management Research

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.

Citation

Myles Shaver, J. (2007), "Interpreting Empirical Results in Strategy and Management Research", Ketchen, D.J. and Bergh, D.D. (Ed.) Research Methodology in Strategy and Management (Research Methodology in Strategy and Management, Vol. 4), Emerald Group Publishing Limited, Leeds, pp. 273-293. https://doi.org/10.1016/S1479-8387(07)04009-X