A closer look at stochastic frontier analysis in economics. Issue 3 (8th October 2020)

• Record Type: Journal Article
• Authors: Nguyen, Hung T.
• Is Part Of: Asian journal of economics and banking. Volume 4:Issue 3(2020)
• Page Start: 3
• Page End: 28
• Publication Date: 2020-10-08
• Subjects: Copulas -- Fuzzy regression discontinuity -- Empirical likelihood -- Production efficiency -- Regular models -- Regularized regression; B21 -- B23 -- B41 -- C1 -- C5 -- C13 -- E23; 332.1; 332
• DOI: 10.1108/AJEB-07-2020-0032
• Languages: English
• ISSNs: 2615-9821

Abstract

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.