paper-with-me

홈 › Papers

Using Information to Amplify Competition

2020-10-11 · Wenhao Li

I characterize the consumer-optimal market segmentation in competitive markets where multiple firms selling differentiated products to consumers with unit demand. This segmentation is public---in that each firm observes the same market segments---and takes a simple form: in each market segment, there is a dominant firm favored by all consumers in that segment. By segmenting the market, all but the dominant firm maximally compete to poach the consumer's business, setting price to equal marginal cost. Information, thus, is being used to amplify competition. This segmentation simultaneously generates an efficient allocation and delivers to each firm its minimax profit.

📄 PDF Abstract BibTeX arXiv:2010.05342

Code (0)

등록된 구현이 없습니다.

Tasks

Segmentation

Similar Papers 제목 키워드 기반

EASE-DETR: Easing the Competition among Object Queries

2024-01-01 · CVPR 2024 1 · Yulu Gao, Yifan Sun, Xudong Ding, Chuyang Zhao 외

This paper views the DETR's non-duplicate detection ability as a competition result among object queries. Around each object there are usually multiple queries within which only a single one can win the chance to bec…

DecoderObject

The green transition of firms: The role of evolutionary competition, adjustment costs, transition risk, and green technology progress

2024-10-27 · Davide Radi, Frank Westerhoff

We propose an evolutionary competition model to investigate the green transition of firms, highlighting the role of adjustment costs, dynamically adjusted transition risk, and green technology progress in this process. F…

Decision Making

Amplifying human performance in combinatorial competitive programming

2024-11-29 · Petar Veličković, Alex Vitvitskyi, Larisa Markeeva, Borja Ibarz 외

Recent years have seen a significant surge in complex AI systems for competitive programming, capable of performing at admirable levels against human competitors. While steady progress has been made, the highest percenti…

SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection

2024-04-09 · Elisei Rykov, Yana Shishkina, Kseniia Petrushina, Kseniia Titova 외

In this paper, we present our novel systems developed for the SemEval-2024 hallucination detection task. Our investigation spans a range of strategies to compare model predictions with reference standards, encompassing d…

Hallucination

Comprehensive Competition Mechanism in Palmprint Recognition

2023-08-17 · IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2023 8 · Ziyuan Yang, Huijie Huangfu, Lu Leng, Bob Zhang 외

Palmprint has gained popularity as a biometric modality and has recently attracted significant research interest. The competition-based method is the prevailing approach for hand-crafted palmprint recognition, thanks to …