Semi-parametric estimation of the EASI model: Welfare implications of taxes identifying clusters due to unobserved preference heterogeneity
Andr\'es Ram\'irez-Hassan, Alejandro L\'opez-Vera

TL;DR
This paper introduces a new non-parametric inferential framework for estimating the EASI demand model, revealing welfare impacts of electricity taxes and consumer heterogeneity in Colombia.
Contribution
It develops a novel Dirichlet process-based method for identifying consumer clusters and welfare effects in the EASI model, accounting for unobserved heterogeneity and non-linearities.
Findings
Four consumer clusters due to unobserved heterogeneity, with 95% in one cluster.
Electricity tax causes substitution effects between electricity and other goods.
Welfare loss ranges from 0.60% to 1.49% of income, higher for wealthier groups.
Abstract
We provide a novel inferential framework to estimate the exact affine Stone index (EASI) model, and analyze welfare implications due to price changes caused by taxes. Our inferential framework is based on a non-parametric specification of the stochastic errors in the EASI incomplete demand system using Dirichlet processes. Our proposal enables to identify consumer clusters due to unobserved preference heterogeneity taking into account, censoring, simultaneous endogeneity and non-linearities. We perform an application based on a tax on electricity consumption in the Colombian economy. Our results suggest that there are four clusters due to unobserved preference heterogeneity; although 95% of our sample belongs to one cluster. This suggests that observable variables describe preferences in a good way under the EASI model in our application. We find that utilities seem to be inelastic…
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Taxonomy
TopicsEconomics of Agriculture and Food Markets · Consumer Market Behavior and Pricing · Energy, Environment, and Transportation Policies
