Rejoinder to “Endogeneity bias in marketing research: Problem, causes and remedies”

Abstract There are a few significant errors in Zaefarian, Kadile, Henneberg, and Leischnig's (2017) (henceforth ZKHL) discussion of remedies to address endogeneity issues in their recent survey article in Industrial Marketing Management. Most notably, they incorrectly describe 2-stage least squares (2SLS) estimation procedure. We provide the correct methodology here, along with sample data and code, and compare estimations using ZHKL's suggested methodology with proper 2SLS and ordinary least squares. We show that the method they suggest will actually result in greater bias in coefficient estimates while proper 2SLS addresses the endogeneity problem. Also, they incorrectly describe 3-stage least squares (3SLS), both in terms of implementation procedure and appropriate setting. We address both of these issues by describing when 3SLS would be used and the benefits of using 3SLS versus other methods to estimate simultaneous equations models. We discuss further issues with their paper and provide R code and simulated data.

[1]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[2]  A. Cameron,et al.  Microeconometrics: Methods and Applications , 2005 .

[3]  Peter E. Rossi Invited Paper - Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications , 2014, Mark. Sci..

[4]  Raoul V. Kübler,et al.  The Role of the Partner Brand's Social Media Power in Brand Alliances , 2018 .

[5]  L. Hansen Large Sample Properties of Generalized Method of Moments Estimators , 1982 .

[6]  Felix Oberholzer-Gee,et al.  The Effect of File Sharing on Record Sales: An Empirical Analysis , 2007, Journal of Political Economy.

[7]  Alexander Leischnig,et al.  Endogeneity bias in marketing research: Problem, causes and remedies , 2017 .

[8]  Matthew Semadeni,et al.  The perils of endogeneity and instrumental variables in strategy research: : Understanding through simulations , 2014 .

[9]  G. Bascle Controlling for endogeneity with instrumental variables in strategic management research , 2008 .

[10]  Jeffrey M. Wooldridge,et al.  Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data , 2003 .

[11]  J. Wooldridge Control Function Methods in Applied Econometrics , 2015, The Journal of Human Resources.

[12]  Alok R. Saboo,et al.  Influencing Acquisition Performance in High-Technology Industries: The Role of Innovation and Relational Overlap , 2017 .

[13]  Joshua D. Angrist,et al.  Mostly Harmless Econometrics: An Empiricist's Companion , 2008 .

[14]  Pravin K. Trivedi,et al.  Microeconometrics Using Stata: Revised Edition , 2010 .

[15]  Doug J. Chung How Much Is a Win Worth? An Application to Intercollegiate Athletics , 2017, Manag. Sci..

[16]  J. Heckman Sample selection bias as a specification error , 1979 .

[17]  Adrian Pagan,et al.  Econometric Issues in the Analysis of Regressions with Generated Regressors. , 1984 .