An analysis of the distributive effects of public policies and their spillovers

• Ano de defesa: 2020
• Autor(a) principal: Costa, Alan André Borges da
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: Distributive effects; Efeitos distributivos; Quantil; Quantile; Saturação; Saturation; Spillover; Transbordamento
• Link de acesso: https://www.teses.usp.br/teses/disponiveis/12/12138/tde-21072020-133522/

The aim of this work is to define, identify and estimate the direct, indirect, total andsaturation effects (proportion of treated subjects) on the several quantiles of the outcomevariable in the presence of treatment spillover. Exploring the variation resulting fromtwo stage randomization, we propose estimators to measure the horizontal and verticaldistances (marginal quantile) between treatment and control groups. In addition wedefined, identified and estimated the derivative of the marginal quantile with respectto saturation by decomposing it into direct and spillover effects. Finally, the empiricalapplication uses the database of a random experiment performed in Mexico that allowsus to estimate the proposed objects using the participation and trust indexes in poorcommunities as outcome variables. The results show that there are direct effects, positiveand negative, for the tails of the distribution. An additional exercise reveals evidence ofheterogeneous spillover effects. With this database it is not possible to state for a givenpercentile that there is a relationship, positive or negative, between marginal quantilesand the several levels saturation, that is, it is not evident that increasing the proportionof treated subjects will result in greater (direct or spillover) effects of treatment.