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dc.contributor.advisorABRAHAM, Arpad
dc.contributor.authorKINA, Ozlem
dc.date.accessioned2023-04-20T15:23:17Z
dc.date.available2023-04-20T15:23:17Z
dc.date.issued2023
dc.identifier.citationFlorence : European University Institute, 2023en
dc.identifier.urihttps://hdl.handle.net/1814/75518
dc.descriptionDefence date: 29 March 2023 Examining Board: Árpád Ábrahám (University of Bristol); Alexander Monge-Naranjo (European University Institute, Florence); Jonathan Heathcote (Federal Reserve Bank of Minneapolis); Marek Kapička (CERGE-EI, Prague)en
dc.description.abstractThis thesis is composed of three essays, and contributes to the literature on optimal design of tax and transfers schemes in heterogeneous agents general equilibrium models. In the first chapter, Redistributive Capital Taxation Revisited, coauthored with Ctirad Slavik and Hakki Yazici, we use a rich quantitative model with endogenous skill acquisition to show that capital-skill complementarity provides a quantitatively significant rationale to tax capital for redistributive governments. The optimal capital income tax rate is 67%, while it is 61% in an identically calibrated model without capital-skill complementarity. The skill premium falls from 1.9 to 1.84 along the transition following the optimal reform in the capital-skill complementarity model, implying substantial indirect redistribution from skilled to unskilled workers. These results show that a redistributive government should take into account capital-skill complementarity when taxing capital. In the second chapter, Optimal Taxation of Automation, I focus on the asymmetric effects of automation on labor markets. I provide a general equilibrium model that distinguishes between low-and high-skill automation to study optimal taxation of those technologies. Low-skill (high-skill) automation generates a downward pressure on low-skill (high-skill) wages. Modeling the two types of automation is important as both are empirically relevant, and each has a different impact on wages of workers with different skill types. I calibrate the model to the US economy along several dimensions, and find that for a given level of technology, it is optimal to distort automation adoption in order to compress wage inequality and increase labor share of income to provide redistribution. In particular, it is optimal to tax low-skill automation while subsidize high-skill automation when the transitional dynamics are taken into account. As a result, consumption inequality and both before and after-tax income inequality decline and labor share of income increases relative to status-quo over transition. In the third chapter, On the Implications of Unemployment Insurance and Universal Basic Income in a Frictional Labor Market, I revisit the efficiency and equality considerations regarding the optimal provision of unemployment insurance (UI) benefits when workers’ outside options vary substantially. The chapter aims to make comparisons between UI and universal basic income (UBI) policies to investigate whether UBI could be a tool to improve workers’ hand in the wage setting and how transfers to unemployed -UI or UBI - and taxes impact the wage setting outcome across income distribution.en
dc.description.tableofcontents-- 1. Redistributive capital taxation revisited -- 2. Optimal taxation of automation -- 3. On the implications of unemployment insurance and universal basic income in a frictional labor market -- A. Apendix to Chapter 1en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherEuropean University Instituteen
dc.relation.ispartofseriesEUIen
dc.relation.ispartofseriesECOen
dc.relation.ispartofseriesPhD Thesisen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshFiscal policyen
dc.subject.lcshMacroeconomics -- Mathematical modelsen
dc.subject.lcshTaxationen
dc.titleFiscal policy with heterogeneous agents macroen
dc.typeThesisen
dc.identifier.doi10.2870/78853en
eui.subscribe.skiptrue
dc.rights.licenseAttribution 4.0 International*


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