Research
Data Engineering
Finding Competitive Equilibria in Online Marketplaces with Platform Fees, Taxes, and Subsidies
Key Insights
- We study equilibrium computation in multi-unit trading networks with valuations satisfying generalized full substitutes and agent- and transaction-specific piecewise-linear transfer functions.
- These t.
Cite this synthesis
DOI: 10.48550/arXiv.2610.40626 ↗
Show formatted citation
@misc{ acaciadata-research-finding-competitive-equilibria-in-online-marketplaces-with-p,
title = { Finding Competitive Equilibria in Online Marketplaces with Platform Fees, Taxes, and Subsidies },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2610.40626 },
url = { http://arxiv.org/abs/2610.40626v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Finding Competitive Equilibria in Online Marketplaces with Platform Fees, Taxes, and Subsidies AU - Leszek PY - 2026 DO - 10.48550/arXiv.2610.40626 UR - http://arxiv.org/abs/2610.40626v1 ER -
Edit on GitHub — registry.json
Overview
We study equilibrium computation in multi-unit trading networks with valuations satisfying generalized full substitutes and agent- and transaction-specific piecewise-linear transfer functions. These t
Key Topics
- Distributed Systems: A theme covered by this item within the data engineering context.
Why It Matters
This item adds to the data engineering knowledge base. Practitioners can use it to stay current on Finding Competitive Equilibria in Online Marketplaces with Platform Fees, Taxes, and Subsidies, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how Finding Competitive Equilibria in Online Marketplaces with Platform Fees, Taxes, and Subsidies relates to data engineering workflows and controls.
- Assess evidence quality and freshness before acting on the findings.
- Use the tagged topics to connect this item to related content in the library.
Article Metadata
Evergreen
Synthesized
SQI 0.750
Related Research
Related Lessons
Data Engineering
Designing a Production Data Platform: From Requirements to Architecture
Master the full lifecycle of data platform design: requirements gathering,...
Data Engineering
Data Quality, Observability, and Cost Optimization at Scale
Master data quality frameworks (Great Expectations, dbt tests), data...
Data Engineering
Building Data Pipelines with dbt and Dagster: From SQL to Orchestration
Learn dbt fundamentals (models, tests, docs, sources), Dagster's...