Three Essays in Policy Analysis Among Vulnerable Populations

Rushil Zutshi

ResearchPublished Aug 21, 2023

This dissertation focuses on three distinct issues among vulnerable populations using three different methodologies. All three essays make contributions to their respective literature but taken together, the dissertation also provides a blueprint for an approach that uses innovative methodologies to engage with complex issues while also working intimately with and in the communities of interest.

The first essay uses a randomized trial to study religion and caste-based discrimination in healthcare delivery in Bihar, India.

The second essay uses a game-theoretic approach to better understand the reasons for non-disclosure by victims of sexual misconduct and how policymakers may be able to improve truth-telling among victims.

The last essay uses a qualitative approach to engage with an issue that has eluded an effective solution despite decades of study.

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Zutshi, Rushil, Three Essays in Policy Analysis Among Vulnerable Populations. Santa Monica, CA: RAND Corporation, 2023. https://www.rand.org/pubs/rgs_dissertations/RGSDA2934-1.html.
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This document was submitted as a dissertation in July 2023 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Zachary Wagner (chair), Justin Grana, Kathryn Bouskill, and Manoj Mohanan (outside reader).

This publication is part of the RAND dissertation series. Dissertations are written by Ph.D. candidates at the RAND School of Public Policy and supervised, reviewed, and approved by a RAND School faculty committee overseeing each dissertation. The RAND School is the world's leading producer of Ph.D.'s in policy analysis.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.