E-companion for "A Computational Analysis of Bundle Trading Markets Design for Distributed Resource Allocation"
datasetposted on 27.04.2020 by Zhiling GUO, Gary J. Koehler, Andrew B. Whinston
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This e-companion contains four sets of supporting materials for the main paper. EC.1 provides algorithmic treatments to handle key market implementation issues. EC.2 examines eﬀects of active market intermediation on market performance and the dealer’s wealth under the controlled market experiment. EC.3 studies market liquidity and heterogeneous market participation in a randomized market environment. EC.4 includes proofs of Lemmas and Corollaries.