Welfare targeting in networks

B-Tier
Journal: Journal of Mathematical Economics
Year: 2021
Volume: 96
Issue: C

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

This paper investigates welfare targeting for public goods in networks. First, we show that a tax/subsidy scheme (not necessarily budget-balanced) affects each consumer only insofar as it affects his neighbourhood. Second, we show that either a Pareto-improving income redistribution can be found or there exist Negishi weights, which we relate to the network structure. Third, in the case of Cobb–Douglas preferences, we show that a Law of Welfare Targeting holds and links two well-known notions of the comparative statics of policy interventions: neutrality and welfare paradoxical effects. Collectively, our findings uncover the importance of the −1 eigenvalue to economic and social policy: it is an indication of how consumers absorb the impact of income redistribution.

Technical Details

RePEc Handle
repec:eee:mateco:v:96:y:2021:i:c:s0304406821000586
Journal Field
Theory
Author Count
2
Added to Database
2026-01-24