An agent-based model of trickle-up growth and income inequality

C-Tier
Journal: Economic Modeling
Year: 2023
Volume: 129
Issue: C

Authors (4)

Palagi, Elisa (not in RePEc) Napoletano, Mauro (not in RePEc) Roventini, Andrea (Scuola Superiore Sant'Anna) Gaffard, Jean-Luc (Sciences Po)

Score contribution per author:

0.251 = (α=2.01 / 4 authors) × 0.5x C-tier

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

Abstract

We build an agent-based model to study how coordination failures, credit constraints, and unequal access to investment opportunities affect inequality and aggregate income dynamics. We show that macroeconomic conditions are affected by income distribution and that the model features trickle-up growth dynamics. Redistribution toward poorer households raises demand and benefits all agents’ income growth. Simulations show that our model reproduces several stylized facts concerning income inequality and social mobility. Finally, fiscal policies facilitating access to investment opportunities by poor households have the largest impact, raising income and decreasing inequality, with policy timing being crucial.

Technical Details

RePEc Handle
repec:eee:ecmode:v:129:y:2023:i:c:s0264999323003474
Journal Field
General
Author Count
4
Added to Database
2026-01-25