https://scholars.lib.ntu.edu.tw/handle/123456789/526227
Title: | A Stochastic Frontier Model with Endogenous Treatment Status and Mediator | Authors: | YI-TING CHEN Hsu, Y.-C. Wang, H.-J. |
Keywords: | Mediation analysis; Stochastic frontier models; Treatment effect | Issue Date: | 2020 | Journal Volume: | 38 | Journal Issue: | 2 | Start page/Pages: | 243-256 | Source: | Journal of Business and Economic Statistics | Abstract: | Government policies are frequently used to promote productivity. Some policies are designed to enhance production technology, while others are meant to improve production efficiency. An important issue to consider when designing and evaluating policies is whether a mediator is required or effective in achieving the desired final outcome. To better understand and evaluate the policies, we propose a new stochastic frontier model with a treatment status and a mediator, both of which are allowed to be endogenous. The model allows us to decompose the total program (treatment) effect into technology and efficiency components, and to investigate whether the effect is derived directly from the program or indirectly through a particular mediator. Supplementary materials for this article are available online. © 2018, © 2018 American Statistical Association. |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85056105995&partnerID=40&md5=24786fd0fd1bdfd1425a95b9a12df289 https://scholars.lib.ntu.edu.tw/handle/123456789/526227 |
ISSN: | 07350015 | DOI: | 10.1080/07350015.2018.1497504 |
Appears in Collections: | 財務金融學系 |
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