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- Phone: +33 (0)1 39 67 97 92
- Email: ebbesSPAMFILTER@hec.fr
Peter Ebbes holds a Ph.D. in economics and marketing from the University of Groningen (Netherlands).
His research focuses on understanding aspects of consumer behavior through data sources now commonly collected by many companies. In his research he develops novel statistical methods to accommodate the increasing complexity of the consumer marketplace and the growing richness of available data sources. Insights from his studies help to improve marketing decision making, particularly concerning segmentation, targeting, and pricing activities.
Peter's work has been published in Marketing Science , Management Science, Journal of Marketing Research, Journal of Marketing, Quantitative Marketing and Economics (QME), International Journal of Research in Marketing (IJRM), Psychometrika , and other journals. He is the winner of the 2011 IJRM Best Paper award. He is the winner of the 2016 HEC Foundation best researcher award. Peter is finalist of the Shelby D. Hunt/Harold H. Maynard Award and finalist of the 2015 Marketing Science Institute/H. Paul Root Award.
He served twice on the organizing committee of the Advanced Research Techniques (ART) Forum, a conference that brings together quantitative researchers from industry and academia. He also served as secretary/treasurer of the Section on Statistics in Marketing within the American Statistical Association. Peter is currently a member of the American Marketing Association (AMA), INFORMS, the American Statistical Association (ASA), the European Marketing Academy (EMAC), and the Psychometric Society.
His teaching interests include marketing research and analytics, marketing models, and business analytics. Prior to joining HEC Paris in 2012, he taught at the Ohio State University and Penn State University.
"Beyond the Target Customer: Social Effects of CRM Campaigns", Forthcoming, Journal of Marketing Research, (in coll. with E. ASCARZA, O. NEDZER, M. DANIELSON).
"Sampling Designs for Recovering Local and Global Characteristics of Social Networks", International Journal of Research in Marketing, September 2016, vol. 33, n° 3, pp. 578-599 (in coll. with Z. HUANG, A. RANGASWAMY).
"Attribute-Level Heterogeneity", Management Science, April 2015, vol. 61, n° 4, pp. 885-897 (in coll. with J. LIECHTY, R. GREWAL).
"The Chief Marketing Officer Matters!", Journal of Marketing, May 2015, vol. 79, n° 3, pp. 1-22 (in coll. with F. GERMANN, R. GREWAL).
"Properties of Instrumental Variables Estimation in Logit-Based Demand Models: Finite Sample Results", Journal of Modelling in Management, 2014, vol. 9, n° 3, pp. 261-289 (in coll. with R. L. ANDREWS).
"A Heterogeneous Bayesian Regression Model for Cross-sectional Data Involving a Single Observation per Response Unit", Psychometrika, April 2012, vol. 77, n° 2, pp. 293-314 (in coll. with D. K. H. Fong, W. DeSarbo).
"Enhancing Marketing with Engineering: Optimal Product Line Design for Heterogeneous Markets", International Journal of Research in Marketing, March 2011, vol. 28, n° 1, pp. 1-12 (in coll. with J. MICHALEK, F. ADIGUZEL, F. FEINBERG, P. PAPALAMBROS ).
"The sense and non-sense of holdout sample validation in the presence of endogeneity", Marketing Science, November-December 2011, vol. 30, n° 6, pp. 1115-1122 (in coll. with D. PAPIES, H. VAN HEERDE).
"Modeling strategic group dynamics: a hidden markov modeling approach", Quantitative Marketing and Economics, June 2010, vol. 8, n° 2, pp. 241-274 (in coll. with R. Grewal, W. DeSarbo).
"Revisiting customer value analysis in a heterogeneous market", Journal of Modelling in Management, 2010, vol. 5, n° 1, pp. 8-24 (in coll. with C. Snow, D. K. H. Fong, W. DeSarbo).
"Frugal IV alternatives to identify the parameters for an endogenous regressor", Journal of Applied Econometrics, April-May 2009, vol. 24, n° 3, pp. 446-468 (in coll. with M. Wedel, U. Böckenholt).
"A non-technical guide to instrumental variables and regressor-error dependencies", Quantile, 2007, vol. 2, pp. 3-20.
"Solving and testing for regressor-error (in)dependence when no instrumental variables are available: with new evidence for the effect of education on income", Quantitative Marketing and Economics, December 2005, vol. 3, n° 4, pp. 365-392 (in coll. with M. Wedel, U. Böckenholt, A. G. M. Steerneman).
"Regressor and random-effects dependencies in multilevel models", Statistica Neerlandica, May 2004, vol. 58, n° 2, pp. 161-178 (in coll. with U. Böckenholt, M. Wedel).
Chapters in Edited Books
"Addressing Endogeneity in Marketing Models", in Advanced Methods in Modeling Markets, Eds. P.S.H. Leeflang, J.E. Wieringa, T.H.A. Bijmolt, and K. H. Pauwels, Springer, vol. Springer International Series in Quantitative Marketing. (in coll. with D. PAPIES, H. J. VAN HEERDE).
"Dealing with endogeneity: a non-technical guide for marketing researchers", in Handbook of Market Research, Eds. C. Homburg, M. Klarmann, and A. Vomberg, Springer (in coll. with H. J. VAN HEERDE).
"Hidden Markov Models for marketing applications", in Advanced Methods in Modeling Markets, Eds. P.S.H. Leeflang, J.E. Wieringa, T.H.A. Bijmolt, and K. H. Pauwels, Springer, vol. Springer International Series in Quantitative Marketing (in coll. with O. NETZER, T. BIJMOLT ).
Employment Date: 2012
2005 Ph.D. in Economics , University of Groningen, The Netherlands.
2000 M.A. in Econometrics and Marketing, University of Groningen, The Netherlands.
Academic responsibilities at HEC
2012- Member of GREGHEC (CNRS).
2012- Associate Professor.
External academic responsibilities
2010-2012 Visiting Assistant Professor, Fisher College of Business, The Ohio State University.
2005-2010 Assistant Professor, Smeal college of business, The Pennsylvania State University.
Membership in Academic or Professional Organisation
American Marketing Association (member since fall 2005).
INFORMS (member since fall 2005).
European Marketing Academy EMAC (member since 2014).
American Statistical Association (member since fall 2009).
Psychometric Society (member since fall 2005).
Awards & Honors
2016 HEC Foundation Best Researcher Award.
2011 Winner of the 2011 IJRM Best Paper award.
Quantitative marketing research