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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 is the winner of the 2020 Sheth Foundation/Journal of Marketing 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.

Scientific articles

Using Social Network Activity Data to Identify and Target Job Seekers

Management Science, Forthcoming, (in coll. with O. NETZER)

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

Journal of Marketing Research, February 2021, vol. 58, n° 1, pp 74-94, (in coll. with J. R. HOWELL, J. C. LIECHTY)

Attribute-Level Heterogeneity

Management Science, April 2015, vol. 61, n° 4, pp 885-897, (in coll. with J. LIECHTY, 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)

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)

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)

Chapters in edited 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

Scientific articles

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

Journal of Marketing Research, February 2021, vol. 58, n° 1, pp 74-94, (in coll. with J. R. HOWELL, J. C. LIECHTY)

Attribute-Level Heterogeneity

Management Science, April 2015, vol. 61, n° 4, pp 885-897, (in coll. with J. LIECHTY, 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)

Chapters in edited 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

Education

  • Ph.D. in Economics, University of Groningen - The Netherlands
  • M.A. in Econometrics and Marketing, University of Groningen - The Netherlands

Academic appointments

Academic Responsibilities at HEC

  • 2021- Professor, Marketing HEC Paris
  • 2012-2021 Associate Professor, Marketing HEC Paris
  • 2012- Member of GREGHEC, the joint research laboratory CNRS-HEC Paris HEC Paris

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

Scientific Activities

Membership in Academic or Professional Organisation

  • American Marketing Association (member since fall 2005)
  • INFORMS (member since fall 2005)
  • Psychometric Society (member since fall 2005)
  • American Statistical Association (member since fall 2009)
  • European Marketing Academy EMAC (member since 2014)

Conference organisation

  • 2018-2018 Big Data @ HEC conference organizer, 1st edition
  • Awards & honors

    • 2020 2020 Sheth Foundation/Journal of Marketing Award
    • 2016 HEC Foundation Best Researcher Award
    • 2011 Winner of the 2011 IJRM Best Paper award