On Fair Price Discrimination in Multi-Unit Markets
Authors: Michele Flammini, Manuel Mauro, Matteo Tonelli
IJCAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this work we propose a framework for capturing the setting of fair discriminatory pricing and study its application to multiunit markets, in which many copies of the same item are on sale. Our model is able to incorporate the fundamental discrimination settings proposed in the literature, by expressing individual buyers constraints for assigning prices by means of a social relationship graph, modeling the information that each buyer can acquire about the prices assigned to the other buyers. After pointing out the positive effects of fair price discrimination, we investigate the computational complexity of maximizing the social welfare and the revenue in these markets, providing hardness and approximation results under various assumptions on the buyers valuations and on the social graph topology. |
| Researcher Affiliation | Academia | Michele Flammini1,2, Manuel Mauro1, Matteo Tonelli1 1 Gran Sasso Science Institute, L Aquila, Italy 2 University of L Aquila, L Aquila, Italy |
| Pseudocode | No | The paper describes algorithms and proofs in text but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that source code for the described methodology is publicly available. |
| Open Datasets | No | This is a theoretical paper focusing on computational complexity and algorithm design. It does not use or refer to any publicly available datasets for training or evaluation. |
| Dataset Splits | No | This is a theoretical paper and does not involve experimental validation with data splits. |
| Hardware Specification | No | This is a theoretical paper, and no specific hardware used for experiments is mentioned. |
| Software Dependencies | No | This is a theoretical paper and does not mention any specific software or libraries with version numbers required for reproduction. |
| Experiment Setup | No | This is a theoretical paper and does not describe any specific experimental setup details such as hyperparameters or training configurations. |