Ricardo Montoya

Research Interests

Bayesian Econometrics, Models of Consumer and Firm Behavior, Dynamic Marketing Mix Models, Stochastic Dynamic Programming, Product Design, Non-compensatory Decision Models.

Journal Articles

1. Breakage Analysis for Profitability Management in High-Value, Low-Frequency Loyalty Programs (2024). Co-authors: Marcel Goic and Isamar Troncoso. International Journal of Research in Marketing.

2. Preference Estimation under Bounded Rationality: Identification of Attribute Non-Attendance in Stated-Choice Data Using a Support Vector Machines Approach (2023). Co-authors: Verónica Díaz and Sebastián Maldonado. European Journal of Operational Research, 304, 797–812.

3. Drivers of customer satisfaction in the grocery retail industry: A longitudinal analysis across store formats (2021). Co-authors: Marcel Goic and Camilo Levenier. Journal of Retailing and Consumer Services, 60,102505.

4. Components of effort for repeated tasks (2021). Co-authors: Andres Musalem, Martin Meißner and Joel Huber. Journal of Behavioral Decision Making, 34(1), 99-115.

5. A hidden Markov model to detect on-shelf out-of-stocks (2019). Co-author: Carlos Gonzalez. Manufacturing and Service Operations Management, 21(4):932-948.

6. Buying free rewards: the impact of a points-plus-cash promotion on purchase and reward redemption (2019). Co-author: Constanza Flores. Marketing Letters, 30, 107-118.

7. The effect of house ads on multichannel sales (2018). Co-authors: Marcel Goic and Rodolfo Alvarez. Journal of Interactive Marketing, 42, 32-45.

8. Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines (2017). Co-authors: Sebastian Maldonado and Julio Lopez. Journal of the Operational Research Society, 68(1), 1323-1334.

9. Embedded heterogeneous feature selection for conjoint analysis: an SVM approach using L1 penalty (2017). Co-authors: Sebastian Maldonado and Julio Lopez. Applied Intelligence, 46, 775-787.

10. Contingent preannounced pricing policies with strategic consumers (2016). Co-authors: Jose Correa and Charles Thraves. Operations Research, 64(1), 251-272.

11. Advanced conjoint analysis using feature selection via support vector machines (2015). Co-authors: Sebastian Maldonado and Richard Weber. European Journal of Operational Research, 241, 564-574.

12. Dynamic learning in behavioral games: A hidden Markov mixture of experts approach (2012). Co-authors: Asim Ansari and Oded Netzer. Quantitative Marketing and Economics, 10, 475-503.

13. The design of durable goods (2011). Co-authors: Oded Koenigsberg and Rajeev Kohli. Marketing Science, 30(1), 111-122.

14. Dynamic allocation of pharmaceutical detailing and sampling for long-term profitability (2010). Co-authors: Oded Netzer and Kamel Jedidi. Marketing Science, 29(5), 909-924.

15. Package size decisions (2010). Co-authors: Oded Koenigsberg and Rajeev Kohli. Management Science, 56(3), 485-494.

16. Linear penalization support vector machines for feature selection (2005). Co-authors: Jaime Miranda and Richard Weber. Lecture Notes in Computer Science, 3776, 188-192.

Book Chapters

• Dynamic allocation of pharmaceutical detailing and sampling for long-term profitability (2016). Co-authors: Kamel Jedidi and Oded Netzer. In From Little's Law to Marketing Science: Essays in Honor of John D.C. Little.

Working Papers

• Heterogeneity in HMMs: Allowing for heterogeneity in the number of states. Co-authors: Nicolas Padilla and Oded Netzer. [Download Paper]

• Probabilistic lexicographic choice. Co-authors: Kamel Jedidi and Rajeev Kohli.

• Probabilistic choice in optimal product design. Co-author: Rajeev Kohli.