Details about Thomas Otter

Access statistics for papers by Thomas Otter.

Last updated 2025-03-17. Update your information in the RePEc Author Service.

Short-id: pot65

Working Papers

2025

1. Discrete choice in marketing through the lens of rational inattention
   Other publications TiSEM, Tilburg University, School of Economics and Management
   See also Journal Article Discrete choice in marketing through the lens of rational inattention, Quantitative Marketing and Economics (QME), Springer (2025) (2025)

2024

2. Do financial advisors have different beliefs than lay people?
   IMFS Working Paper Series, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS)

2023

3. Omitted budget constraint bias and implications for competitive pricing
   Other publications TiSEM, Tilburg University, School of Economics and Management View citations (4)

2022

4. Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data
   CEPR Discussion Papers, C.E.P.R. Discussion Papers
   See also Journal Article Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data, Marketing Science, INFORMS (2022) (2022)

Journal Articles

2025

1. Discrete choice in marketing through the lens of rational inattention
   Quantitative Marketing and Economics (QME), 2025, 23, (1), 45-104
   See also Working Paper Discrete choice in marketing through the lens of rational inattention, Other publications TiSEM (2025) (2025)

2022

2. Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data
   Psychometrika, 2022, 87, (2), 620-665
3. Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data
   Marketing Science, 2022, 41, (3), 637-656
   See also Working Paper Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data, CEPR Discussion Papers (2022) (2022)

2020

4. How to generalize from a hierarchical model?
   Quantitative Marketing and Economics (QME), 2020, 18, (4), 343-380 View citations (8)

2018

5. Advancing Non-compensatory Choice Models in Marketing
   Customer Needs and Solutions, 2018, 5, (1), 82-92 View citations (5)

2014

6. Bayesian estimation of the random coefficients logit from aggregate count data
   Quantitative Marketing and Economics (QME), 2014, 12, (1), 43-84 View citations (3)

2013

7. Successive Sample Selection and Its Relevance for Management Decisions
   Marketing Science, 2013, 32, (1), 170-185 View citations (7)
8. The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis
   Marketing Science, 2013, 32, (4), 533-553 View citations (11)

2011

9. Testing Models of Strategic Behavior Characterized by Conditional Likelihoods
   Marketing Science, 2011, 30, (4), 686-701 View citations (6)

2008

10. Choice Models in Marketing: Economic Assumptions, Challenges and Trends
    Foundations and Trends(R) in Marketing, 2008, 2, (2), 97-184 View citations (20)
11. Sequential sampling models of choice: Some recent advances
    Marketing Letters, 2008, 19, (3), 255-267 View citations (13)
12. The Dependent Poisson Race Model and Modeling Dependence in Conjoint Choice Experiments
    Psychometrika, 2008, 73, (2), 261-288 View citations (10)

2007

13. Heterogeneity distributions of willingness-to-pay in choice models
    Quantitative Marketing and Economics (QME), 2007, 5, (3), 313-331 View citations (93)
14. Investigating Endogeneity Bias in Marketing
    Marketing Science, 2007, 26, (5), 642-650 View citations (15)

2006

15. Contemporary Bayesian Econometrics and Statistics. John Geweke
    Journal of the American Statistical Association, 2006, 101, 1313-1314 View citations (1)

2005

16. Adjusting Choice Models to Better Predict Market Behavior
    Marketing Letters, 2005, 16, (3), 197-208 View citations (16)

2004

17. Bayesian Analysis of the Heterogeneity Model
    Journal of Business & Economic Statistics, 2004, 22, (1), 2-15 View citations (24)

Chapters

2022

1. Bayesian Models
   Springer

2012

2. Implications of Linear Versus Dummy Coding for Pooling of Information in Hierarchical Models
   Springer