Tax evasion on a social network

B-Tier
Journal: Journal of Economic Behavior and Organization
Year: 2020
Volume: 169
Issue: C
Pages: 79-91

Authors (2)

Gamannossi degl’Innocenti, Duccio (not in RePEc) Rablen, Matthew D. (University of Sheffield)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We relate tax evasion behavior to a substantial literature on social comparison in judgements. Taxpayers engage in tax evasion as a means to boost their expected consumption relative to others in their social network. The unique Nash equilibrium of the model relates optimal evasion to a (Bonacich) measure of network centrality: more central taxpayers evade more. Given that tax authorities are now investing heavily in big-data tools that aim to construct social networks, we investigate the value of acquiring network information. We do this using networks that allow for celebrity taxpayers, whose consumption is seen widely, and who are systematically of higher wealth. We show that there are pronounced returns to the initial acquisition of network information, especially in the presence of celebrity taxpayers.

Technical Details

RePEc Handle
repec:eee:jeborg:v:169:y:2020:i:c:p:79-91
Journal Field
Theory
Author Count
2
Added to Database
2026-01-29