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An exploration of SSA’s disability determination process based on efficiency analysis

Qianqian Yuan (Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China and School of Management and Economics, Beijing Institute of Technology, Beijing, China)
Liansheng Larry Tang (Department of Statistics and Data Science and National Center for Forensic Science, University of Central Florida, Orlando, Florida, USA and NIH Clinical Center, Rehabilitation Medicine Department, Bethesda, UK)
Feng Yang (School of Management, University of Science and Technology, Hefei, China)
Diane E. Brandt (NIH Clinical Center, Rehabilitation Medicine Department, Bethesda, UK)
Leighton Chan (NIH Clinical Center, Rehabilitation Medicine Department, Bethesda, UK)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 18 September 2019

Issue publication date: 18 September 2019

Abstract

Purpose

This paper aims to estimate the performance of the social security administration (SSA) in dealing with disability benefits applications in American.

Design/methodology/approach

The authors propose a multi-stage data envelopment analysis (DEA) method to analyze the efficiency of 167 hearing offices (HOs) to find the best performed HOs and inefficient ones and detect total improvement of inefficient and weak efficient offices.

Findings

The results show that totally 299,711 applications were processed and more applications will be processed if all offices can work efficiently. To the best of the authors’ knowledge, this paper is the first one to analyze the performance of SSA HOs using the multi-stage DEA method.

Originality/value

To the best of the authors’ knowledge, this paper is the first one to analyze the performance of SSA HOs using the multi-stage DEA method.

Keywords

Acknowledgements

This work is supported in part by the Intramural Research Program of the National Institutes of Health and the US SSA. The opinions expressed in this article are the author’s own and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, USA SSA or the USA Government. The financial supports from China Scholarship Council, the National Natural Science Foundation of China (Nos. 71322101, 71631006, 71601173 and 71701017) and the China Postdoctoral Science Foundation (2016T90588 and 2017M620647).

Citation

Yuan, Q., Tang, L.L., Yang, F., Brandt, D.E. and Chan, L. (2019), "An exploration of SSA’s disability determination process based on efficiency analysis", Journal of Modelling in Management, Vol. 14 No. 3, pp. 590-609. https://doi.org/10.1108/JM2-11-2018-0182

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited