paper-with-me

홈 › Papers

Rationalizing Path-Independent Choice Rules

2023-03-02 · Koji Yokote, Isa E. Hafalir, Fuhito Kojima, M. Bumin Yenmez

Path independence is arguably one of the most important choice rule properties in economic theory. We show that a choice rule is path independent if and only if it is rationalizable by a utility function satisfying ordinal concavity, a concept closely related to concavity notions in discrete mathematics. We also provide a rationalization result for choice rules that satisfy path independence and the law of aggregate demand.

📄 PDF Abstract BibTeX arXiv:2303.00892

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Correlated Choice

2021-03-08 · Christopher P. Chambers, Yusufcan Masatlioglu, Christopher Turansick

We study random joint choice rules, allowing for interdependence of choice across agents. These capture random choice by multiple agents, or a single agent across goods or time periods. Our interest is in separable choic…

On Locally Rationalizable Social Choice Functions

2022-04-11 · Felix Brandt, Chris Dong

We consider a notion of rationalizability, where the rationalizing relation may depend on the set of feasible alternatives. More precisely, we say that a choice function is locally rationalizable if it is rationalized by…

Relation

Combining partially independent belief functions

2015-03-17 · Mouna Chebbah, Arnaud Martin, Boutheina Ben Yaghlane

The theory of belief functions manages uncertainty and also proposes a set of combination rules to aggregate opinions of several sources. Some combination rules mix evidential information where sources are independent; o…

Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions

2024-09-06 · Roberta Rocca, Giada Pistilli, Kritika Maheshwari, Riccardo Fusaroli

As mental health care systems worldwide struggle to meet demand, there is increasing focus on using language models to infer neuropsychiatric conditions or psychopathological traits from language production. Yet, so far,…

EthicsNavigate

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools

2023-09-29 · Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa 외

While algorithmic fairness is a thriving area of research, in practice, mitigating issues of bias often gets reduced to enforcing an arbitrarily chosen fairness metric, either by enforcing fairness constraints during the…

Fairness