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Massachusetts Institute of Technology

Essays on redistributive fiscal policies and macroeconomics

Abstract

dc:description.abstract

This thesis consists of three chapters. Chapters 1 and 2 study redistributive fiscal policies. Chapter 3 analyzes the role of asymmetric information in frictional labor markets. Fiscal stimulus during the Great Recession consisted mainly of transfers, rather than government purchases. Chapter 1 analyzes the role of marginal propensities to consume (MPCs) in shaping the effect of such policies. I construct a continuous-time New Keynesian model with heterogeneous overlapping generations which allows for arbitrary MPC heterogeneity. I characterize the output multipliers of fiscal transfers, and show that the role of MPCs is mainly to determine the timing of the fiscal stimulus. The relation between this timing and the cumulative effect on output is, however, ambiguous. Indeed, I show that transfers to low-MPC consumers may generate a higher cumulative effect on output.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Economics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Spector, Mariano Eduardo.
Advisor dc:contributor.advisor
  • Iván Werning and Daron Acemoglu.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/127037
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/127037

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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citation

Spector, Mariano Eduardo.. Essays on redistributive fiscal policies and macroeconomics. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127037