Riedmiller, Sebastian ORCID: 0009-0007-8590-1869 (2025). Survey-Guided Policy Design: An Economic Approach to Student Aid and Beyond. PhD thesis, Universität zu Köln.

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Abstract

In this dissertation, I use research-guided surveys to systematically analyze the problems or barriers that prevent individuals from acting in line with a policy goal. Based on this evidence, I design policy interventions that address these problems to achieve behavioral change. These interventions are tested in randomized controlled trials to evaluate their effectiveness. By using survey methods to identify problems and design interventions before evaluating their effectiveness, I show how survey evidence can help to inform policy ex-ante. In Chapter 2, I provide a general, parsimonious survey tool to predict intervention effectiveness and design effective intervention accordingly. Then, I turn to the applied case of student aid non-take-up with a special focus on misperceptions in Chapter 3, and evaluate an information intervention to resolve misperceptions and increase take-up of student aid in Chapter 4.

Item Type: Thesis (PhD thesis)
Creators:
Creators
Email
ORCID
ORCID Put Code
Riedmiller, Sebastian
s.riedmiller@hotmail.com
UNSPECIFIED
URN: urn:nbn:de:hbz:38-781714
Date: 2025
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Externe Einrichtungen
Subjects: Psychology
Social sciences
Political science
Economics
Public administration
Education
Uncontrolled Keywords:
Keywords
Language
behavioral economics
English
experimental economics
English
intervention design
English
field experiments
English
education economics
English
student aid take-up
English
Date of oral exam: 29 April 2025
Referee:
Name
Academic Title
Sutter, Matthias
Prof. Dr.
Pinger, Pia
Prof. Dr.
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/78171

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