Peter EBBES

Associate Professor

Marketing

ebbes@hec.fr https://scholar.google.fr/citations?user=fgADrbcAAAAJ&hl=en

Biography

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 2015 Shelby D. Hunt/Harold H. Maynard Award, finalist of the 2015 Marketing Science Institute/H. Paul Root Award, and finalist of the 2017 Paul E. Green 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.

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Scientific articles

Beyond the Target Customer: Social Effects of CRM Campaigns

Journal of Marketing Research, June 2017, vol. 54, n° 3, pp 347-363,

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,

The Chief Marketing Officer Matters!

Journal of Marketing, May 2015, vol. 79, n° 3, pp 1-22,

Attribute-Level Heterogeneity

Management Science, April 2015, vol. 61, n° 4, pp 885-897,

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,

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,

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,

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,

Modeling strategic group dynamics: a hidden markov modeling approach

Quantitative Marketing and Economics, June 2010, vol. 8, n° 2, pp 241-274,

Revisiting customer value analysis in a heterogeneous market

Journal of Modelling in Management, 2010, vol. 5, n° 1, pp 8-24,

Chapters edited in books

Addressing Endogeneity in Marketing Models

Advanced Methods For Modeling Markets, Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H.A Bijmolt, Koen H. Pauwels, Springer International Publishing, Switzerland, 581-627

Dealing with Endogeneity: A Nontechnical Guide for Marketing Researchers

Handbook Of Market Research, Christian Homburg, Martin Klarmann, Arnd Vomberg, Springer International Publishing, Switzerland, 1-37

Hidden Markov Models for marketing applications

Advanced Methods In Modeling Markets, Eds. P.S.H. Leeflang, J.E. Wieringa, T.H.A. Bijmolt, and K. H. Pauwels, Springer, Berlin, 405-452

Proceedings

Sampling large-scale social networks: insights from simulated networks

Proceedings of the 18th workshop on information technologies and systems , 2008 (H. Thadakamalla, A. Rangaswamy, Z. Huang)

Working papers

Marketing Department Power and Board Interlocks

Cahier de Recherche du Groupe HEC , 2019

Using Social Network Activity Data to Identify and Target Job Seekers

Cahier de Recherche du Groupe HEC , 2018

Gremlins in the Data: Identifying the Information Content of Research Subjects

Cahier de Recherche du Groupe HEC , 2017