Rotterdam school of Management, Erasmus University compact logo
Photo
Jason Roos
Associate Professor of Marketing Management
Rotterdam School of Management (RSM)
Erasmus University Rotterdam

More information

Profile

My current research interests include

  • Internet and new media
  • Entertainment goods
  • Structural modeling
  • Bayesian econometrics

 

Please visit

www.jasonmtroos.com

for more information

Publications

Academic (5)
  • Daljord, Ø., Mela, C., Roos, J., Sprigg, J., & Yao, S. (2023). The Design and Targeting of Compliance Promotions. Marketing Science, 42(5), 866-891. https://doi.org/10.1287/mksc.2022.1420

  • Roos, J., Mela, CF., & Shachar, R. (2020). The Effect of Links and Excerpts on Internet News Consumption. Journal of Marketing Research, 57(3), 395-421. https://doi.org/10.1177/0022243720913029

  • Roos, J., & Shachar, R. (2014). When Kerry Met Sally: Politics and Perceptions in the Demand for Movies. Management Science, 60(7), 1617-1631. https://doi.org/10.1287/mnsc.2013.1834

  • Mela, CF., Roos, J., & Deng, Y. (2013). A Keyword History of Marketing Science. Marketing Science, 32(1), 8-18. https://doi.org/10.1287/mksc.1120.0764

  • Glickman, SW., Boulding, W., Roos, J., Staelin, R., Peterson, ED., & Schulman, K. (2009). Alternative pay-for-performance scoring methods: implications for quality improvement and patient outcomes. Medical Care, 47(10), 1062-1068. https://doi.org/10.1097/MLR.0b013e3181a7e54c

External (1)
  • Roos, J. (2012). Hyper-Media Search and Consumption. [Doctoral Thesis, Duke University]. Duke University.

Activities

  • RSM BV
    Start date approval: 30 Sep 2022
    End date approval: 29 Sep 2025
    Place: ROTTERDAM
    Description: Teaching
  • Alpenspruce Education Services / K&L Gates LLP
    Start date approval: 14 Oct 2024
    End date approval: 13 Oct 2027
    Place: SEATTLE
    Description: Expert witness testimony in a trademark dispute

Award

  • Fellowship - ERIM early career talent programme (2012)

Courses

Experimentation & Causal Inference

  • Study year: 2024/2025, 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BM03BAM
  • Level: Master

Machine Learning & Learning Algorithms

  • Study year: 2024/2025, 2023/2024
  • Code: BM05BAM
  • Level: Master

Past courses

Current Topics in Marketing Research

  • Study year: 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2016/2017, 2015/2016
  • Code: BERMASC040
  • ECTS: 5 Level: PhD

Marketing Analytics

  • Study year: 2022/2023, 2021/2022, 2020/2021, 2019/2020, 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BMME055
  • Level: Master, Master, Master, Master

Advanced Marketing Decision Models

  • Study year: 2019/2020
  • Code: BERMASC044
  • ECTS: 4 Level: Master

Causal Inference

  • Study year: 2019/2020
  • Code: BERMAMC021
  • Level: Master

ERIM Research Clinic Marketing

  • Study year: 2018/2019
  • Code: BERMRC003
  • ECTS: 4 Level: Master

Introduction to data visualization, web scraping, and text analysis in R

  • Study year: 2018/2019, 2016/2017
  • Code: BERMSS018
  • ECTS: 2 Level: Master

Social media

  • Study year: 2015/2016
  • Code: BMME058
  • ECTS: 6 Level: Master

Featured in the media

Featured on RSM Discovery