BUSINESS UC3M

@UC3M_BUSINESS

José M. Vidal-Sanz

Professor of Marketing

Education

  • Bachelor’s Degree in Economics and Business Sciences, specializing in Quantitative Economics; Complutense University, Madrid.
  • Ph.D. in Economics, specializing in Theoretical Econometrics; former Department of Statistics and Econometrics, Carlos III University of Madrid (UC3M).
  • Post-doctoral researcher (Marie Curie Fellow, 2 years), Department of Economics; London School of Economics (LSE).
  • Marie Curie Career Integration grant, Department of Business Economics, UC3M.

Research Interests

Marketing and Business Analytics, Statistics and Theoretical Econometrics, Management Science, Quantitative Economics.

Selected Publications

BOOKS

Listed by BookAuthority as one of the best marketing research books of all time

ARTICLES

Jose M. Vidal-Sanz is a professor of marketing and market research, specializing in analytical modeling and quantitative research methods. He is an interdisciplinary researcher who began his career working in statistical methodology and theoretical econometrics, later considering topics in computational economics, management science, and numerical methods. His main research in marketing has focused on problems such as marketing mix optimization, dynamic planning and CRM, design of optimal experiments for conjoint analysis, and prediction of consumer behavior using machine learning. He is one of the co-authors of the business game and marketing simulation QUANTUM. Jose has been Vice Dean of the Business degree at the Carlos III University. He has been a visiting professor at the University of Alicante, visiting professor at Columbia University in New York City, and is a life-member of Clare Hall College at the University of Cambridge.

Fun facts: Erdös number = 5; Mathematical Genalogy (Aquí); zbMath (Aquí); Mathematical Reviews (Aquí)

ORCID: https://orcid.org/0000-0003-3750-546X

BOOKS:

BOOK CHAPTERS:

  • Esteban-Bravo , Vidal-Sanz, J.M (2025): “Marketing management integrating massive data”, in: Economic Research with Massive Data, (editor Daniel Peña), Handbook Fundación Ramón Areces. Chapter 6, pages 217-261. URL (accessible online)

ARTICLES

OTHERS

https://ideas.repec.org/e/pvi59.html
https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=605234

BUSINESS UC3M

@UC3M_BUSINESS