Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/334030 
Authors: 
Year of Publication: 
2020
Citation: 
[Journal:] Asian Journal of Economics and Banking (AJEB) [ISSN:] 2633-7991 [Volume:] 4 [Issue:] 3 [Year:] 2020 [Pages:] 3-28
Publisher: 
Emerald, Leeds
Abstract: 
Purpose - While there exist many surveys on the use stochastic frontier analysis (SFA), many important issues and techniques in SFA were not well elaborated in the previous surveys, namely, regular models, copula modeling, nonparametric estimation by Grenander’s method of sieves, empirical likelihood and causality issues in SFA using regression discontinuity design (RDD) (sharp and fuzzy RDD). The purpose of this paper is to encourage more research in these directions. Design/methodology/approach - A literature survey. Findings - While there are many useful applications of SFA to econometrics, there are also many important open problems. Originality/value - This is the first survey of SFA in econometrics that emphasizes important issues and techniques such as copulas.
Subjects: 
Copulas
Fuzzy regression discontinuity
Empirical likelihood
Production efficiency
Regular models
Regularized regression
JEL: 
B21
B23
B41
C1
C5
C13
E23
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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