Diego
Aparicio

Assistant Professor de Dirección Comercial

• Ph.D. in Economics, Massachusetts Institute of Technology

Diego Aparicio es Profesor Adjunto en el departamento de Dirección Comercial del IESE. Da clases de Marketing Management en el MBA.

Su investigación estudia estrategias óptimas de precios y selección de productos, y también problemas empíricos de finanzas corporativas. Antes de incorporarse al IESE, Prof. Aparicio trabajó en el sector financiero y tecnológico.

Áreas de interés.

• Fijación de precios
• Economía de la digitalización
• Organización industrial

Publicaciones

Journal Articles (refereed)

APARICIO, D., METZMAN, Z., RIGOBON, R. (2024). The pricing strategies of online grocery retailers. QME-Quantitative Marketing and Economics, 22 (1), 1–21, doi:10.1007/s11129-023-09273-w. APARICIO, D., RIGOBON, R. (2023). Quantum prices. Journal of International Economics, 143, Article 103770. doi:10.1016/j.jinteco.2023.103770. APARICIO, D., SIMESTER, D. (2022). Price frictions and the success of new products. Marketing Science, 41 (6), 1029-1182, ii. doi:10.1287/mksc.2022.1367. APARICIO, D., AVENANCIO-LEÓN, C. F. (2022). Is banning corporate contributions enough?. The Dynamics of incomplete campaign finance reform. The Journal of Law and Economics, 65 (3), 581-606. doi:10.1086/718973. APARICIO, D., CAVALLO, A. (2021). Targeted price controls on supermarket products. The Review of Economics and Statistics, 103 (1), 60-71. doi:10.1162/rest_a_00880. APARICIO, D., BERTOLOTTO, M. I. (2020). Forecasting inflation with online prices. International Journal of Forecasting, 36 (2), 232-247. doi:10.1016/j.ijforecast.2019.04.018. APARICIO, D., LOPEZ DE PRADO, M. (2018). How hard is it to pick the right model?. MCS and backtest overfitting. Algorithmic Finance, 7 (1-2), 53-61. doi:10.3233/AF-180231. APARICIO, D., FRAIMAN, D. (2015). Banking networks and leverage dependence in emerging countries. Advances in Complex Systems, 18 (7 n8). doi:10.1142/S0219525915500228.

Working Papers

SPANN, M., BERTINI, M., KOENIGSBERG, O., ZEITHAMMER, R., APARICIO, D., CHEN , Y., FANTINI, F., JIN, G., MORWITZ, V., LESZCZYC, P., ... VITORINO, M. (2024). Algorithmic pricing. Implications for consumers, managers, and regulators (No. w32540). Cambridge, MA: National Bureau of Economic Research. APARICIO, D., ECKLES, D., KUMAR, M. (2023). Algorithmic pricing and consumer sensitivity to price variability. MARTÍNEZ DE ALBÉNIZ, V., APARICIO, D., BALSACH, J. (2022). The Effects of COVID-19 on the Retail Economy: Store Restrictions, Consumer Panic, and Travel Shocks.

Proceedings

LADA, A., PEYSAKHOVICH, A., APARICIO, D., BAILEY, M. (2019). Observational data for heterogeneous treatment effects with application to recommender systems. EC '19: Proceedings of the 2019 ACM Conference on Economics and Computation (pp. 199-213). New York, NY: Association for Computing Machinery.

Articles in other publications

BERTINI, M., APARICIO, D., AYDINLI, A. (2023). Can friction improve your customers' experiences? MIT Sloan Management Review, 64 (2), 42-47.

Book Chapters

APARICIO, D., MISRA, K. (2022). Artificial intelligence and pricing. In Sudhir, K. and Toubia, O. (Eds.), Artificial intelligence in marketing (pp. 103-124). Bingley: Emerald Publishing Limited.