papachristoumarios / financial-contagion

[WWW 2022] Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"

Supplementary Code for "Allocating Stimulus Checks in Times of Crisis"

Setup

Install the required packages with

pip install -r requirements.txt

Usage

Use the following command to see available options for every snippet

python {snippet.py} --help

Scripts

A list of scripts to reproduce the results of the paper follows:

• seed_subsidy_allocation.py. Produces a plot that compares the greedy, the randomized rounding algorithm and the baselines on optimizing the welfare objective. The values are also compared to the optimal solution of the fractional relaxation.
• seed_subsidy_allocation_fairness.py. Compares the randomized rounding solution and the corresponding fractional solutions where fairness constraints on the Gini Coefficient are present.
• seed_subsidy_allocation_fairness_pof.py. Similarly to seed_subsidy_allocation_fairness.py it plots the relation between the PoF and the upper bound on the value of the corresponding Gini Coefficient
• seed_subsidy_allocation_sbm.py. Plots the behaviour of PoF for a stochastic blockmodel generated from two equally-sized cliques connected with i.i.d. edges of bias q with one another.

The data that can be used via the --dataset flag are the following:

• german_banks
• eba
• venmo

Citation

Please use the following citation when referring to the paper and the source code

@article{papachristou2021allocating,
  title={Allocating Stimulus Checks in Times of Crisis},
  author={Papachristou, Marios and Kleinberg, Jon},
  journal={Proceedings of The Web Conference},
  year={2022}
}