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Member of CNRS-GREGHEC Research Group
- 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
, Quantitative Marketing and Economics
(QME), International Journal of Research in Marketing
, and other journals. He is the winner of the 2011 IJRM Best Paper award.
He served 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), and the Psychometric Society.
His teaching interests include marketing research and analytics, marketing models, and business statistics. 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", Forthcoming, International Journal of Research in Marketing, (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).
"Beyond the Target Customer: Social Effects of CRM Campaigns", Cahier de Recherche du Groupe HEC, 2015 (in coll. with E. ASCARZA, O. NETZER, M. DANIELSON).
"Attribute-Level Heterogeneity", Cahier de Recherche du Groupe HEC, 2014 (in coll. with J. LIECHTY, R. GREWAL).
"Subgraph Sampling Methods for Social Networks: The Good, the Bad, and the Ugly", Cahier de Recherche du Groupe HEC, 2014 (in coll. with Z. HUANG, A. RANGASWAMY).
"Web Appendix for: Attribute-Level Heterogeneity", Cahier de Recherche du Groupe HEC, 2014 (in coll. with J. LIECHTY, R. GREWAL).
Employment Date: 2012
2005 Ph.D. in Economics , University of Groningen, The Netherlands.
2000 M.A. in Econometrics, University of Groningen, The Netherlands.
Academic responsibilities at HEC
2012- Member, GREGHEC (CNRS).
2012- Associate Professor.
External academic responsibilities
2010-2012 Visiting Assistant Professor, Fisher College of Business, Ohio State University, The Ohio State University.
2005-2010 Assistant Professor, Smeal college of business, Penn State University, The Pennsylvania State University.
Membership in Academic or Professional Organisation
American Marketing Association (member since fall 2005).
American Statistical Association (member since fall 2009).
Psychometric Society (member since fall 2005).
INFORMS (member since fall 2005).
Ad-hoc reviewer: Marketing Science, Journal of Marketing, International Journal of Research in Marketing, Quantitative Marketing and Economics, Psychometrika, Journal of Business and Economic Statistics, Journal of Mechanical Design, Statistica Neerlandica, Journal of Marketing Research.
Reviewer, AMA Winter Marketing Educators' Conference.
2012- Member of the editorial review board: International Journal of Research in Marketing.
Member of the Organizational Committee of Stats in Paris - Statistics & Econometrics of Networks.
Advanced Research Techniques (ART) Forum commitee member.
Advanced Research Techniques (ART) Forum committee member.
Awards & Honors
2011 Winner of the 2011 IJRM Best Paper award.
Quantitative marketing research