본문

서브메뉴

Collective Good and Optimization in Socioeconomic Systems- [electronic resource]
コンテンツ情報
Collective Good and Optimization in Socioeconomic Systems- [electronic resource]
자료유형  
 학위논문
Control Number  
0016932284
International Standard Book Number  
9798379717209
Dewey Decimal Classification Number  
361
Main Entry-Personal Name  
Rigobon, Daniel E. .
Publication, Distribution, etc. (Imprint  
[S.l.] : Princeton University., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(145 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
General Note  
Advisor: Sircar, Ronnie;Racz, Miklos Z. .
Dissertation Note  
Thesis (Ph.D.)--Princeton University, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약Optimization is fundamentally grounded in perspective - one party's desired outcome may induce unintended harm on another. Such cases of misalignment between designers' incentives and collective good therefore demand attention, especially when consequences are meaningful for society. To this end, we study three settings in which individualistic optimization and social good can conflict.First, we study how a centralized planner can modify the structure of a social or information network to reduce polarization. By formulating and analyzing a greedy approach to the planner's problem, we motivate two practical heuristics: coordinate descent and disagreement-seeking. We also introduce a setting where the population's innate opinions are adversarially chosen, which reduces to maximization of the Laplacian's spectral gap. We motivate a heuristic that adds edges spanning the cut induced by the spectral gap's eigenvector. These three heuristics are evaluated on real-world and synthetic networks. We observe that connecting disagreeing users is consistently effective, suggesting that the incentives of individuals and recommender systems may reinforce polarization.Second, we build a model of the financial system in which banks control both their supply of liquidity, through cash holdings, and their exposures to risky interbank loans. The value of interbank loans drops when borrowing banks suffers liquidity shortages - caused by the arrival of liquidity shocks that exceeds supply. In the decentralized setting, we study banks' optimal capital allocation under pure self-interest. The second centralized setting tasks a planner with maximizing collective welfare, i.e. sum of banks' utilities. We find that the decentralized equilibrium carries higher risk of liquidity shortages. As the number of banks grows, the relative gap in welfare is of constant order. We derive capitalization requirements for which decentralized banks hold the welfare-maximizing level of liquidity, and find that systemically important banks must face the greatest losses when suffering liquidity crises - suggesting that bailouts can yield perverse incentives.Finally, we study algorithmic fairness through the ethical frameworks of utilitarianism and John Rawls. Informally, these two theories of distributive justice measure the 'good' as either a population's sum of utility, or worst-off outcomes, respectively. We present a parameterized class of objective functions that interpolates between these two conflicting notions of the 'good'. By implementing this class of objectives on real-world datasets, we construct the tradeoff between utilitarian and Rawlsian notions of the 'good'. Empirically, we see that increasing model complexity can manifest strict improvements to both measures of the 'good'. This work suggests that model selection can be informed by a designer's preferences over the space of induced utilitarian and Rawlsian 'good'.
Subject Added Entry-Topical Term  
Social work.
Index Term-Uncontrolled  
Eigenvector
Index Term-Uncontrolled  
Optimization
Index Term-Uncontrolled  
Socioeconomic systems
Index Term-Uncontrolled  
Information network
Index Term-Uncontrolled  
Interbank loans
Added Entry-Corporate Name  
Princeton University Operations Research and Financial Engineering
Host Item Entry  
Dissertations Abstracts International. 84-12A.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:639345
New Books MORE
최근 3년간 통계입니다.

詳細情報

  • 予約
  • 캠퍼스간 도서대출
  • 서가에 없는 책 신고
  • 私のフォルダ
資料
登録番号 請求記号 場所 ステータス 情報を貸す
TQ0025276 T   원문자료 열람가능/출력가능 열람가능/출력가능
마이폴더 부재도서신고

*ご予約は、借入帳でご利用いただけます。予約をするには、予約ボタンをクリックしてください

해당 도서를 다른 이용자가 함께 대출한 도서

Related books

Related Popular Books

도서위치