Revisiting the relationship between age,employment, and recidivism

Employment theoretically serves as a source of informal social control that can promote desistance from crime (Sampson & Laub, 1993). Findings from studies assessing the effects of employment, however, have been mixed. In a seminal study, Uggen (2000) reanalyzed data from the National Supported Work (NSW) Demonstration Project and found that employment significantly reduced the rate of recidivism among individuals aged 27 and older but had no impact on younger individuals. We reproduce and replicate Uggen's (2000) findings with data from four distinct employment programs: The National Supported Work Program (1975–1979), the Transitional Aid Research Project (1976–1977), the Employment Services for Ex-Offenders (1981–1984), and the Enhanced Services for the Hard-to-Employ Center for Employment Opportunities (2004–2008). We closely reproduced Uggen's original findings in the NSW but found evidence that the statistically significant interaction between age and employment in the NSW was only present at the year 3 follow-up and the observed effect is highly sensitive to minor threats to internal validity. Furthermore, a significant age–employment interaction was not observed in the three other data sources. These findings should encourage scholars to continue to investigate the age-graded nature of employment and crime, especially through a sociohistorical lens.     

The curious case of Housing First: the limits of evidence based policy

Evidence Based Policy has been articulated and practiced in Europe, particularly under the ‘New Labour’ policies of the former Labour government in the United Kingdom. In the United States, the impact of research on policy has been inconsistent due to differing relationships between researchers and policy makers. This paper gives an overview of evidence based policy and presents critiques based on its reliance on positivist methods and technical approach to policy making. Using these critiques as a framework, the paper discusses the case of Housing First, a policy adopted by the Bush Administration in order to address the problem of chronic homelessness. The case is an example of research driven policy making but also resulted in a progressive policy being promoted by a conservative administration. In discussing the case, the paper elaborates on the relationship between evidence and policy, arguing that evidence based policy fails to integrate evidence and values into policy deliberations. The paper concludes with alternative models of policy decision making and their implications for research.     

Temporal discounting: the differential effect of proximal and distal consequences on confession decisions

Drawing on the psychological principle that proximal consequences influence behavior more strongly than distal consequences, the authors tested the hypothesis that criminal suspects exhibit a short-sightedness during police interrogation that increases their risk for confession. Consistent with this hypothesis, Experiment 1 showed that participants (N = 81) altered how frequently they admitted to criminal and unethical behaviors during an interview to avoid a proximal consequence even though doing so increased their risk of incurring a distal consequence. Experiment 2 (N = 143) yielded the same pattern, but with a procedure that reversed the order of the proximal and distal consequences, thereby ruling out the possibility that it was the unique characteristics of the consequences rather than their proximity that influenced the admission rate. The authors discuss the supported psychological process as a potential explanation for several well-established findings reported in the literature on confessions.     

Using the Wrong Policy Tools: Education,Charity, and Public Benefit

A recent decision on the application of public benefit under the Charities Act 2006 sidestepped the political debate surrounding the charitable status of independent fee‐charging schools. The broader political context nevertheless underscores the legislative reforms, and this article questions whether the new statutory public benefit requirement has utility as a welfare policy tool in the field of education. It examines the public benefit requirement in charity law against the backdrop of government policy towards education and the broader political agenda for a mixed economy of welfare provision, and argues that the difficulties Labour faced in developing its education policies were replicated in the application of the post‐Act public benefit requirement to fee‐charging schools. As a result, achieving broader policy goals for widening educational opportunity through public benefit was almost impossible given the regulatory framework and the principles upon which charity law is founded.     

Social and economic impact of the commercialization of the Argus II artificial retina in the United States

Each year, the United States invests about $45 billion in research conducted by federal researchers within federal laboratories. These efforts generate extensive social benefits when results are transferred to the private sector. It is important that we effectively quantify the economic and societal impact of federal technology transfer activities to inform taxpayers and policymakers about the value of public investments in this form of research. The Argus II device, an artificial retina commercialized in the United States by Second Sight in 2013, provides a rich example of how private sector innovation can be enhanced by research collaborations with federal labs and academia. Over the 25-year journey from idea to product, Second Sight carried out research and development collaborations with six Department of Energy national laboratories and seven universities. The case of Argus II also offers valuable insight into (1) how private industry, academia, and government can work together to bring socially beneficial innovations to fruition and (2) the tradeoffs inherent in these public–private collaborations. In this paper, we use a Markov model to estimate the realized and potential future social benefits associated with Argus II. We provide an interactive tool that can be used to replicate our findings and modify assumptions using updated patient information as it becomes available. We also provide insight into the aspects of federal involvement surrounding the development of Argus II that contributed to its successful commercialization and discuss other spillover benefits from these public–private collaborations.     

METHODS OF THE SECOND TYPE: COPING WITH THE WILDERNESS OF CONVENTIONAL POLICY ANALYSIS

Policy analysts, like allegorical homesteaders, face the seemingly unmanageable task of coping with the wilderness of ill-structured problems, while concurrently attending to well-structured problems, which can be addressed with conventional methods of policy analysis. What has appeared thus far as an unmanageable task may become manageable once analysts acknowledge the principle of methodological congruence: The appropriateness of a particular type of method is a function of its congruence with the type of problem under investigation.
To be sure, conventional methods of the first type are appropriate and useful for solving first-order problems, which are relatively well-structured. Contexts of practice, however, are pervaded by second-order problems which, variously described as squishy, messy, or ill-structured, are the class of all first-order problems. Just as methods of the first type are congruent with the simple analytic demands of first-order problems, so are methods of the second type congruent with the complex analytic demands of second-order problems. When policy analysts fail to observe this principle of methodological congruence they are likely to solve the wrong problem.
Methods of the second type are not limited to general heuristics, but include specific and readily comprehensible procedures for estimating the boundaries and structure of ill-structured problems. Since these estimation procedures appear to satisfy requirements of inductive estimates in general, policy analysts can assess their own performance in providing approximate answers to the right question, thus coping with the enemies who lurk in the wilderness of conventional policy analysis.