Sequential Generalized Lorenz Dominance Criterion with Multivariate Attributes

Notes on use

Note (General)：: application/pdfWorking PaperWorking Paper, No.356, 2023.03, School of economics, university of toyama

Related materials as well as pre- and post-revision versions

Working Paper / No.356

Detailed bibliographic record

Summary, etc.：: We extend the sequential generalized Lorenz dominance (SGL) criterion in two directions. First, we consider situations where the welfare of individual...

Search by Bookstore

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

University of Toyama Repository
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
University of Toyama Repository

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Material Type: 文書・図像類
Title: Sequential Generalized Lorenz Dominance Criterion with Multivariate Attributes
Author/Editor: Nakamura, Kazuyuki
Author Heading: Nakamura, Kazuyuki
Publication, Distribution, etc.: School of economics, university of toyama
Publication Date: 2023-03
Publication Date (W3CDTF): 2023-03
Periodical title: Working Paper, No.356, 2023.03, School of economics, university of toyama
No. or year of volume/issue: 356
Volume: 356
Pages: 1-17
Text Language Code: eng
Subject Heading: Multivariate dominance criterion
Sequential Lorenz dominance
Target Audience: 一般
Note (General): application/pdf
Working Paper
Working Paper, No.356, 2023.03, School of economics, university of toyama
DOI: 10.15099/00022316
Access Restrictions: 限定公開
Related Material: Working Paper / No.356
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 富山大学 : 富山大学学術情報リポジトリ