Welfare Analysis: Unraveling the Role of Transition Dynamics in Heterogeneous Agent Models
Joint with Matias Bayas-Erazo
Abstract: Heterogeneous-agent models have become a popular tool for evaluating the welfare effects of policy changes. Due to computational challenges, the conventional approach has often overlooked the importance of transition dynamics for welfare analysis and has relied on the comparison of steady states. In this paper, we propose a tractable model with heterogeneous agents and idiosyncratic risk that allows for an analytical study of the welfare implications of policy changes. Based on this model, we propose a simple rule for choosing the length of the transition between two steady states. We show that the rule performs well in quantitative heterogeneous-agent models and establish general computational guidelines for computing transitional dynamics in this class of models.
Diego Huerta
PhD Student in Economics
I’m a fifth-year economics Ph.D. candidate at Northwestern University. I’m a macroeconomist with an interest in political economy. I work with heterogeneous agent models to understand the joint determination of inequality, policies, and macroeconomic outcomes. My JMP proposes a theory that explains the striking differences in the evolution of the welfare state across countries. In addition to my JMP, my research explores the economic origins of financial and labor regulations across countries. I will be on the 2023/2024 Job Market.