Essays in public economics

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Abstract/Contents

Abstract
Transfer programs based on income often generate non-convex kinks in budget sets, particularly in their phase-out regions. In such settings, optimizing agents may respond to changes in the schedule by "jumping" from one bracket of a tax and transfer schedule to another, a behavior that is ruled out by the widely used "first-order" approach in optimal tax theory. This paper presents evidence that such jumps are empirically important using administrative data on reported income that spans a reform of the Brazilian anti-poverty program Bolsa Familia. I develop a theoretical framework that allows for such jumping behavior and show that an additional set of "jumper shares" coupled with standard parameters yield sufficient statistics for welfare analysis. Estimating these shares using the Brazilian data, I document that for every marginal real (R$) transferred by the reform, 12 cents were lost due to the efficiency costs of jumping behavior. Simulations suggest that "jumping" behavior substantially affects the welfare analysis of more general reforms.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Rios Rivera, Juan Fernando
Degree supervisor Bernheim, B. Douglas
Degree supervisor Chetty, Raj
Thesis advisor Bernheim, B. Douglas
Thesis advisor Chetty, Raj
Thesis advisor Pistaferri, Luigi
Degree committee member Pistaferri, Luigi
Associated with Stanford University, Department of Economics.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Juan Fernando Rios Rivera.
Note Submitted to the Department of Economics.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Juan Fernando Rios Rivera
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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