Research in Progress
Algorithmic Pricing and Consumer Sensitivity to Price Variability
— Diego Aparicio, Dean Eckles, and Madhav Kumar
The Resilience of Fashion Retail Stores
— Victor Martinez-de-Albeniz, Diego Aparicio, and Jordi Balsach
Published Papers
The Pricing Strategies of Online Grocery Retailers
— Diego Aparicio, Zachary Metzman, and Roberto Rigobon (2024)
Quantitative Marketing and Economics, 1-21.
Can Friction Improve Your Customers’ Experiences?
— Marco Bertini, Diego Aparicio, and Aylin Aydinli (2023)
MIT Sloan Management Review, 65, no. 1, 1-7.
Quantum Prices
— Diego Aparicio and Roberto Rigobon (2023)
Journal of International Economics, 143, 103770.
Artificial Intelligence and Pricing
— Diego Aparicio and Kanishka Misra (2022)
In Sudhir, K. and Toubia, O. (Eds.), Artificial intelligence in marketing (pp. 103-124). Bingley: Emerald Publishing Limited.
Is Banning Corporate Contributions Enough? The Dynamics of Incomplete Campaign Finance Reform
— Diego Aparicio and Carlos Avenancio-Leon (2022)
The Journal of Law and Economics, 65(3), pp.581-606.
Price Frictions and the Success of New Products
— Diego Aparicio and Duncan Simester (2022)
Marketing Science, 41(6), pp.1057-1073.
Targeted Price Controls on Supermarket Products
— Diego Aparicio and Alberto Cavallo (2021)
Review of Economics and Statistics, 103(1), 60-71.
Forecasting Inflation with Online Prices
— Diego Aparicio and Manuel Bertolotto (2020)
International Journal of Forecasting, Vol. 36, Issue 2, April–June 2020, Pages 232-247.
Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems
— Akos Lada, Alexander Peysakhovich, Diego Aparicio, and Michael Bailey (2019)
Proceedings of the 2019 ACM Conference on Economics and Computation, EC’19.
How Hard is it to Pick the Right Model? MCS and Backtest Overfitting
— Diego Aparicio and Marcos Lopez de Prado (2018)
Algorithmic Finance, vol. 7, no. 1-2.
1 2