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Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
core +1 more source
Why Prices Need Algorithms [PDF]
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015 Understanding when equilibria are guaranteed to exist is a central theme in economic theory, seemingly unrelated to computation. In this note we survey our main result from [Roughgarden and Talgam-Cohen 2015], which shows that the existence of pricing equilibria is inextricably connected to the computational complexity of related optimization problems:
Tim Roughgarden, Inbal Talgam-Cohen
openaire +1 more source
Algorithmic Price Discrimination [PDF]
, 2020 We consider a generalization of the third degree price discrimination problem studied in Bergemann et al. (2015), where an intermediary between the buyer and the seller can design market segments to maximize any linear combination of consumer surplus and seller revenue. Unlike in Bergemann et al. (2015), we assume that the intermediary only has partial
Cummings, Rachel +3 more
openaire +2 more sources
Human-Algorithm Interaction: Algorithmic Pricing in Hybrid Laboratory Markets
Social Science Research Network, 2021 This paper investigates pricing in laboratory markets when human players interact with an algorithm. We compare the degree of competition when exclusively humans interact to the case of one firm delegating its decisions to an algorithm.
Hans-Theo Normann, Martin Sternberg
semanticscholar +1 more source
Third-Party Data Providers Ruin Simple Mechanisms [PDF]
, 2020 Motivated by the growing prominence of third-party data providers in online marketplaces, this paper studies the impact of the presence of third-party data providers on mechanism design.
Cai, Yang +5 more
core +4 more sources
Stackelberg Network Pricing Games [PDF]
, 2007 We study a multi-player one-round game termed Stackelberg Network Pricing Game, in which a leader can set prices for a subset of $m$ priceable edges in a graph. The other edges have a fixed cost.
Briest, Patrick +2 more
core +10 more sources
DIGITAL PLATFORMS AND ALGORITHMIC PRICING: INVESTIGATING MARKET EFFICIENCY AND CONSUMER WELFARE IN THE AGE OF BIG DATA [PDF]
Malaysian E Commerce JournalThe rise of digital platforms has profoundly transformed modern markets, particularly through the deployment of algorithmic pricing strategies powered by big data.
Israel Grace, Onum Friday Okoh
doaj +1 more source
A Comprehensive Overview of Deep Learning for Algorithmic Pricing in Ride-Sharing Platforms [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied InformaticsThis study extends the current scholarship on algorithmic pricing within the sharing economy. By leveraging the capabilities of deep learning, we seek to generate valuable knowledge for stakeholders in the ride-sharing domain, including platform ...
Mioara Chirita, George Chirita
doaj +1 more source
Crowdsourcing Logistics Pricing Optimization Model Based on DBSCAN Clustering Algorithm
IEEE Access, 2020 From the perspective of platform economics, crowdsourcing is a very efficient business model, and the pricing of crowdsourcing tasks is a key factor for the sustainable development of the crowdsourcing model.
Zhichao Li +3 more
doaj +1 more source
Re-mining item associations: methodology and a case study in apparel retailing [PDF]
, 2010 Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items.
Atan, Tankut +4 more
core +1 more source