Job Search Decision Making Among Veterans in VA Vocational Rehabilitation: A Behavioral Economics Perspective

“It makes me feel part of the society”: Return-to-work decisions of SSDI beneficiaries

BACKGROUND: The SGA Model Demonstration included a qualitative follow-along study of participants’ return-to-work decision-making. OBJECTIVE: The authors describe the findings, including motivations of SSDI beneficiaries to seek employment and vocational rehabilitation (VR) services, and the social, familial and personal considerations in returning to work. METHODS: This study used a longitudinal qualitative approach, involving a series of in-depth interviews with SSDI beneficiaries who sought services from state VR agencies in Minnesota and Kentucky. RESULTS: Motivations of SSDI beneficiaries to seek employment extend beyond economic need. Fear and confusion associated with balancing financial risks and rewards of returning to work influenced whether participants felt ready to do so. Yet while financial considerations are important, they are often embedded in or superseded by motivations related to family engagement, roles, and responsibilities; activity and social engagement; and the personal meanings of work. Financial and benefits counseling provided through the SGA Model was widely praised by participants, and the informed decision-making process facilitated by the coordinated team approach allowed many to envision pathways that had not previously seemed viable. CONCLUSIONS: Decisions to return to work are governed by multifaceted processes. VR services that are responsive to these complexities can empower individuals to make informed decisions.

A psychosocial typology of the unemployed in South Africa

The aim of this study was to investigate whether there were different types of unemployed people in South Africa. A psychosocial typology, developed in Europe, identified five types of unemployed people based on their attitudes, behaviour, and experiences. To determine whether the same types could be found in South Africa, we studied a convenience sample of 381 unemployed individuals residing in the Potchefstroom area in the North West province in South Africa. Latent class analysis indicated that only four types of unemployed could be identified in this study: optimists, the desperate, the discouraged, and the adapted. Significant associations were found among these types and background characteristics, mostly in line with previous research. The results may be utilised to design interventions tailored to the different types of unemployed people.