610 research outputs found

    The Persistent Labor Market Effects of a Criminal Conviction and “Ban the Box” Reforms

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    Past literature has established that individuals who have been incarcerated face difficulties reentering the work force following their release, while finding and keeping a job can significantly reduce recidivism amongst individuals with prior criminal convictions. In attempt to improve employment outcomes, many local and state governments in the United States have initiated Ban the Box regulations. These initiatives delay inquiries regarding criminal history on job applications. Versions of ban the box regulations covering public sector employment have been enacted in 31 states and more than 150 local governments. Ban the box laws have included private employers in eleven states and over 30 metropolitan areas including New York, Los Angeles, Chicago, Washington D.C, Philadelphia, San Francisco, and Seattle. This study uses biennial data from November CPS reports from 2004 through 2016 to estimate the impact of ban the box laws on labor market outcomes using a unique proxy to identify individuals with a criminal record. With a few exceptions, the results do not show the intended improvements in employment and other labor market measures for those with a criminal history

    Three Essays in Labor and Public Economics.

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    This study comprises three essays exploring new questions in regard to the role of health insurance in retirement decisions and the financial value of avoiding perceived crime. In ``Love, Toil, and Health Insurance: Why American Husbands Retire When They Do,'' the chapter examines the relationship of both spouses' health insurance options to the household's timing of the husband's retirement. Previous literature has largely ignored the inter-spousal dependence of health insurance benefits. Using data from the Health and Retirement Study, an important finding is that a wife's health insurance options have an independent impact on the timing of her husband's exit from the labor force. This impact is similar in magnitude to that of a husband's own health insurance options. In ``The Lasting Effects of Crime: The Relationship of Methamphetamine Laboratory Discoveries and Home Values,'' the chapter presents estimates of a household's willingness to pay to avoid crime while minimizing concerns of omitted variable bias. By assuming methamphetamine producers locate approximately at random within a narrowly defined neighborhood, this study has been able to use hedonic estimation methods to estimate the impact of the discovery of that lab on the home values near that location. Though more evidence is necessary, one interpretation is that the impact on property values reflects the valuation of the perceived risk of crime. The estimates found in this study range from a decrease in sale prices of six to ten percent in the year following a laboratory's discovery compared to the prices for homes that are slightly farther away. The third essay, ``The Impact of Health Insurance Availability on Retirement Decision Reversals,'' also uses the longitudinal aspect of the Health and Retirement Study to explore the characteristics associated with reversals in retirement. Through the use of survival time analysis, this essay shows that health insurance plays a significant role in unretirement decisions. This role is underestimated when a static probit analysis is used with characteristics at the time of an individual's retirement. The results are robust to various definitions of retirement prompted by the difficult question of how to classify partial retirements.Ph.D.EconomicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/64771/1/jcongdon_1.pd

    The Impact of Health Insurance Availability on Retirement Decision Reversals.

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    This paper uses the longitudinal aspect of the Health and Retirement Survey to explore the characteristics associated with reversals in retirement (referred to here as “unretirement”). Through the use of survival time analysis, this paper show that health insurance plays a significant role in unretirement decisions. This role is underestimated when a static probit analysis is used alone. The results hold up for a number of different retirement identifiers that are based both on self-reports of retirement and actual work levels. The results are also robust to various definitions of retirement prompted by the difficult question of how to classify partial retirements. The importance of health insurance provision in a retiree’s decision also remains significant when other “shocks” and the prospect of planned unretirement are introduced.Social Security Administrationhttp://deepblue.lib.umich.edu/bitstream/2027.42/49386/1/wp137.pd

    Randomized clinical trial of the effects of screening and brief intervention for illicit drug use: the Life Shift/Shift Gears study.

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    BackgroundAlthough screening, brief intervention, and referral to treatment (SBIRT) has shown promise for alcohol use, relatively little is known about its effectiveness for adult illicit drug use. This randomized controlled trial assessed the effectiveness of the SBIRT approach for outcomes related to drug use among patients visiting trauma and emergency departments (EDs) at two large, urban hospitals.MethodsA total of 700 ED patients who admitted using illegal drugs in the past 30 days were recruited, consented, provided baseline measures of substance use and related problems measured with the Addiction Severity Index-Lite (ASI-Lite), and then randomized to the Life Shift SBIRT intervention or to an attention-placebo control group focusing on driving and traffic safety (Shift Gears). Both groups received a level of motivational intervention matched to their condition and risk level by trained paraprofessional health educators. Separate measurement technicians conducted face-to-face follow-ups at 6 months post-intervention and collected hair samples to confirm reports of abstinence from drug use. The primary outcome measure of the study was past 30-day drug abstinence at 6 months post-intervention, as self-reported on the ASI-Lite.ResultsOf 700 participants, 292 (42%) completed follow-up. There were no significant differences in self-reported abstinence (12.5% vs. 12.0% , p = 0.88) for Life Shift and Shift Gears groups, respectively. When results of hair analyses were applied, the abstinence rate was 7 percent for Life Shift and 2 percent for Shift Gears (p = .074). In an analysis in which results were imputed (n = 694), there was no significant difference in the ASI-Lite drug use composite scores (Life Shift +0.005 vs. Shift Gears +0.017, p = 0.12).ConclusionsIn this randomized controlled trial, there was no evidence of effectiveness of SBIRT on the primary drug use outcome.Trial registrationClinicalTrials.gov NCT01683227

    Translational approaches to understanding resilience to Alzheimer\u27s disease.

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    Individuals who maintain cognitive function despite high levels of Alzheimer\u27s disease (AD)-associated pathology are said to be \u27resilient\u27 to AD. Identifying mechanisms underlying resilience represents an exciting therapeutic opportunity. Human studies have identified a number of molecular and genetic factors associated with resilience, but the complexity of these cohorts prohibits a complete understanding of which factors are causal or simply correlated with resilience. Genetically and phenotypically diverse mouse models of AD provide new and translationally relevant opportunities to identify and prioritize new resilience mechanisms for further cross-species investigation. This review will discuss insights into resilience gained from both human and animal studies and highlight future approaches that may help translate these insights into therapeutics designed to prevent or delay AD-related dementia

    Agile methods in biomedical software development: a multi-site experience report

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    BACKGROUND: Agile is an iterative approach to software development that relies on strong collaboration and automation to keep pace with dynamic environments. We have successfully used agile development approaches to create and maintain biomedical software, including software for bioinformatics. This paper reports on a qualitative study of our experiences using these methods. RESULTS: We have found that agile methods are well suited to the exploratory and iterative nature of scientific inquiry. They provide a robust framework for reproducing scientific results and for developing clinical support systems. The agile development approach also provides a model for collaboration between software engineers and researchers. We present our experience using agile methodologies in projects at six different biomedical software development organizations. The organizations include academic, commercial and government development teams, and included both bioinformatics and clinical support applications. We found that agile practices were a match for the needs of our biomedical projects and contributed to the success of our organizations. CONCLUSION: We found that the agile development approach was a good fit for our organizations, and that these practices should be applicable and valuable to other biomedical software development efforts. Although we found differences in how agile methods were used, we were also able to identify a set of core practices that were common to all of the groups, and that could be a focus for others seeking to adopt these methods

    Multiple Gene Variants Linked to Alzheimer\u27s-Type Clinical Dementia via GWAS are Also Associated with Non-Alzheimer\u27s Neuropathologic Entities

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    The classic pathologic hallmarks of Alzheimer’s disease (AD) are amyloid plaques and neurofibrillary tangles (AD neuropathologic changes, or ADNC). However, brains from individuals clinically diagnosed with “AD-type” (amnestic) dementia usually harbor heterogeneous neuropathologies in addition to, or other than, ADNC. We hypothesized that some AD-type dementia associated genetic single nucleotide variants (SNVs) identified from large genomewide association studies (GWAS) were associated with non-ADNC neuropathologies. To test this hypothesis, we analyzed data from multiple studies with available genotype and neuropathologic phenotype information. Clinical AD/dementia risk alleles of interest were derived from the very large GWAS by Bellenguez et al. (2022) who reported 83 clinical AD/dementia-linked SNVs in addition to the APOE risk alleles. To query the pathologic phenotypes associated with variation of those SNVs, National Alzheimer’s disease Coordinating Center (NACC) neuropathologic data were linked to AD Sequencing Project (ADSP) and AD Genomics Consortium (ADGC) data. Separate data were obtained from the harmonized Religious Orders Study and the Rush Memory and Aging Project (ROSMAP). A total of 4811 European participants had at least ADNC neuropathology data and also genotype data available; data were meta-analyzed across cohorts. As expected, a subset of dementia-associated SNVs were associated with ADNC risk in Europeans—e.g., BIN1, PICALM, CR1, MME, and COX7C. Other gene variants linked to (clinical) AD dementia were associated with non-ADNC pathologies. For example, the associations of GRN and TMEM106B SNVs with limbic-predominant age-related TDP-43 neuropathologic changes (LATE-NC) were replicated. In addition, SNVs in TNIP1 and WNT3 previously reported as ADrelated were instead associated with hippocampal sclerosis pathology. Some genotype/neuropathology association trends were not statistically significant at P \u3c 0.05 after correcting for multiple testing, but were intriguing. For example, variants in SORL1 and TPCN1 showed trends for association with LATE-NC whereas Lewy body pathology trended toward association with USP6NL and BIN1 gene variants. A smaller cohort of non-European subjects (n = 273, approximately one-half of whom were African-Americans) provided the basis for additional exploratory analyses. Overall, these findings were consistent with the hypothesis that some genetic variants linked to AD dementia risk exert their affect by influencing non-ADNC neuropathologies

    Identifying Mechanisms of Normal Cognitive Aging Using a Novel Mouse Genetic Reference Panel.

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    Developing strategies to maintain cognitive health is critical to quality of life during aging. The basis of healthy cognitive aging is poorly understood; thus, it is difficult to predict who will have normal cognition later in life. Individuals may have higher baseline functioning (cognitive reserve) and others may maintain or even improve with age (cognitive resilience). Understanding the mechanisms underlying cognitive reserve and resilience may hold the key to new therapeutic strategies for maintaining cognitive health. However, reserve and resilience have been inconsistently defined in human studies. Additionally, our understanding of the molecular and cellular bases of these phenomena is poor, compounded by a lack of longitudinal molecular and cognitive data that fully capture the dynamic trajectories of cognitive aging. Here, we used a genetically diverse mouse population (B6-BXDs) to characterize individual differences in cognitive abilities in adulthood and investigate evidence of cognitive reserve and/or resilience in middle-aged mice. We tested cognitive function at two ages (6 months and 14 months) using y-maze and contextual fear conditioning. We observed heritable variation in performance on these traits
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