Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/334094 
Authors: 
Year of Publication: 
2023
Citation: 
[Journal:] Asian Journal of Economics and Banking (AJEB) [ISSN:] 2633-7991 [Volume:] 7 [Issue:] 2 [Year:] 2023 [Pages:] 166-179
Publisher: 
Emerald, Leeds
Abstract: 
Purpose - This paper aims to offer a tutorial/introduction to new statistics arising from the theory of optimal transport to empirical researchers in econometrics and machine learning. Design/methodology/approach - Presenting in a tutorial/survey lecture style to help practitioners with the theoretical material. Findings - The tutorial survey of some main statistical tools (arising from optimal transport theory) should help practitioners to understand the theoretical background in order to conduct empirical research meaningfully. Originality/value - This study is an original presentation useful for new comers to the field.
Subjects: 
Multivariate quantiles
Optimal transport
Partial identification
Random sets
Wasserstein metrics
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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