My Account Log in

2 options

Essays on empirical market design in higher education / Tomas Larroucau.

Online

Available online

View online

Dissertations & Theses @ University of Pennsylvania Available online

View online
Format:
Book
Thesis/Dissertation
Author/Creator:
Larroucau, Tomas, author.
Contributor:
Fang, Hanming, degree supervisor.
Vohra, Rakesh, degree supervisor.
University of Pennsylvania. Department of Economics, degree granting institution.
Language:
English
Subjects (All):
Preferences.
Probability.
Students.
Medicine.
College admissions.
Algorithms.
School systems.
Estimates.
Bias.
Economics--Penn dissertations.
Penn dissertations--Economics.
Local Subjects:
Preferences.
Probability.
Students.
Medicine.
College admissions.
Algorithms.
School systems.
Estimates.
Bias.
Economics--Penn dissertations.
Penn dissertations--Economics.
Genre:
Academic theses.
Physical Description:
1 online resource (287 pages)
Contained In:
Dissertations Abstracts International 83-03B.
Place of Publication:
[Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2021.
Language Note:
English
System Details:
Mode of access: World Wide Web.
text file
Summary:
Centralized assignment mechanisms are widely used and present in many markets. The empirical evaluation of these markets is an essential and challenging task. For instance, in college admissions, students may report their preferences strategically, making it difficult to evaluate policy changes. Also, it is unclear whether students make mistakes when applying to college and if this has consequences on their welfare. Finally, little is known if the market design can affect students' downstream outcomes. In my dissertation, I shed light on these issues, by analyzing the Chilean centralized college admissions system. In the first chapter, with I. Rios, we document strong evidence of strategic behavior in students' applications, even though students face no incentives to misreport their preferences. Taking this into account, we build anew methodology that recovers students' preferences from observed application lists, even when students face a large number of choices. In the second chapter, with I. Rios, we analyze the effects of centralized assignment mechanisms on downstream outcomes. We evaluate two channels that can explain students' dynamic choices: (i) students might switch programs or drop out due to initial mismatches, and (ii) students might switch or drop out due to learning about their match-qualities. Based on these facts, we build a structural model of students' college progression in the presence of a centralized system. We use the estimated model to analyze the impact of changing the market design on the system's efficiency. We find that policies that elicit information on students' cardinal preferences and leverage dynamic incentives can significantlyimprove the system's efficiency. Finally, in the third chapter, with M. Martinez, C. Neilson, and I. Rios, we analyze the prevalence and relevance of application mistakes in college admissions. Using survey data, we find that a significant fraction of students makes welfare-relevant mistakes due to a lack of information and biased beliefs. We use these insights to design and evaluate an information policy to reduce application mistakes. We find that showing information aboutadmission probabilities has a causal effect on improving students' outcomes.
Notes:
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Advisors: Fang, Hanming; Vohra, Rakesh; Committee members: Azevedo, Eduardo; Luflade, Margaux.
Department: Economics.
Ph.D. University of Pennsylvania 2021.
Local Notes:
School code: 0175
ISBN:
9798535569765
Access Restriction:
Restricted for use by site license.
This item must not be sold to any third party vendors.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account