scholarly journals Conscription and Crime: Evidence from the Argentine Draft Lottery

2011 ◽  
Vol 3 (2) ◽  
pp. 119-136 ◽  
Author(s):  
Sebastian Galiani ◽  
Martín A Rossi ◽  
Ernesto Schargrodsky

We estimate the causal effect of mandatory participation in military service on individuals' subsequent involvement in criminal activities. To identify this causal effect, we exploit the random assignment of young men to conscription in Argentina through a draft lottery. Using a dataset that includes draft eligibility, participation in military service, and criminal records, we find that conscription increases the likelihood of developing a criminal record. The effects are significant not only for cohorts that provided military service during wartime, but also for those that served during peacetime. Our results do not support the introduction of conscription for anti-crime purposes. JEL (H56, K42, O17)

2021 ◽  
pp. 1-31
Author(s):  
Sarah E. Lageson ◽  
Elizabeth Webster ◽  
Juan R. Sandoval

Digitization and the release of public records on the Internet have expanded the reach and uses of criminal record data in the United States. This study analyzes the types and volume of personally identifiable data released on the Internet via two hundred public governmental websites for law enforcement, criminal courts, corrections, and criminal record repositories in each state. We find that public disclosures often include information valuable to the personal data economy, including the full name, birthdate, home address, and physical characteristics of arrestees, detainees, and defendants. Using administrative data, we also estimate the volume of data disclosed online. Our findings highlight the mass dissemination of pre-conviction data: every year, over ten million arrests, 4.5 million mug shots, and 14.7 million criminal court proceedings are digitally released at no cost. Post-conviction, approximately 6.5 million current and former prisoners and 12.5 million people with a felony conviction have a record on the Internet. While justified through public records laws, such broad disclosures reveal an imbalance between the “transparency” of data releases that facilitate monitoring of state action and those that facilitate monitoring individual people. The results show how the criminal legal system increasingly distributes Internet privacy violations and community surveillance as part of contemporary punishment.


1994 ◽  
Vol 23 (2) ◽  
pp. 242-248 ◽  
Author(s):  
E. Schei ◽  
A.J. Sogaard

2004 ◽  
Vol 14 (3) ◽  
pp. 193-201 ◽  
Author(s):  
Kari Linden ◽  
Vesa Jormanainen ◽  
Nancy L. Swigonski ◽  
Kirsi Pietilä

Author(s):  
Karla DiazOrdaz ◽  
Richard Grieve

Health economic evaluations face the issues of noncompliance and missing data. Here, noncompliance is defined as non-adherence to a specific treatment, and occurs within randomized controlled trials (RCTs) when participants depart from their random assignment. Missing data arises if, for example, there is loss-to-follow-up, survey non-response, or the information available from routine data sources is incomplete. Appropriate statistical methods for handling noncompliance and missing data have been developed, but they have rarely been applied in health economics studies. Here, we illustrate the issues and outline some of the appropriate methods with which to handle these with application to health economic evaluation that uses data from an RCT. In an RCT the random assignment can be used as an instrument-for-treatment receipt, to obtain consistent estimates of the complier average causal effect, provided the underlying assumptions are met. Instrumental variable methods can accommodate essential features of the health economic context such as the correlation between individuals’ costs and outcomes in cost-effectiveness studies. Methodological guidance for handling missing data encourages approaches such as multiple imputation or inverse probability weighting, which assume the data are Missing At Random, but also sensitivity analyses that recognize the data may be missing according to the true, unobserved values, that is, Missing Not at Random. Future studies should subject the assumptions behind methods for handling noncompliance and missing data to thorough sensitivity analyses. Modern machine-learning methods can help reduce reliance on correct model specification. Further research is required to develop flexible methods for handling more complex forms of noncompliance and missing data.


1986 ◽  
Vol 67 (5) ◽  
pp. 372-375
Author(s):  
I. V. Kayusheva

Hypothalamic pubertal syndrome is a common disease of adolescence and adolescence that occurs during the period of physical status and personality formation. It is characterized by interstitial brain damage and hypothalamic-pituitary-endocrine dysregulation (hypercorticism, hyperaldosteronism, hyperprolactinemia, gonadotropin production disorders). Often this syndrome limits the fitness of young men and women for some professions requiring physical and emotional stress, in particular for military service.


Author(s):  
Terrence S. McTier ◽  
Chelsea T. Smith ◽  
Gabrielle Smith ◽  
Ariel Hodges ◽  
Samba Bah

There are major assumptions that housing opportunities in higher education are equally accessible and available to all students. However, these accessible housing opportunities are not available to current and prospective students who possess a criminal record. Many college students with criminal records are deemed ineligible for adequate housing opportunities even before their applications are submitted. This study uses a qualitative layered analysis approach to explore how denials from on-campus housing affect college students with criminal records. Using the perspectives of this marginalized and invisible student population, we draw the reader’s attention to how students with criminal records are affected as a result of being denied on-campus housing, and we provide tangible recommendations for future research, housing practices, and housing policies in higher education.


2020 ◽  
Vol 38 (1) ◽  
pp. 39-66 ◽  
Author(s):  
Paul Bingley ◽  
Petter Lundborg ◽  
Stéphanie Vincent Lyk-Jensen

2019 ◽  
Vol 66 (2) ◽  
pp. 194-218 ◽  
Author(s):  
Megan Denver

Decision makers increasingly incorporate “evidence of rehabilitation” into criminal background checks. Positive credentials can decrease criminal record stigma and improve employment outcomes, but we lack research on whether rehabilitative factors used in such assessments are correlated with recidivism. The current study examines more than 1,000 state-mandated criminal background checks in the rapidly growing health care sector. Everyone in the sample received an initial denial and requested reconsideration by submitting evidence of rehabilitation. The findings indicate prior employer recommendations and program completion are positively correlated with clearance to work, but conditional on contesting in the first place, none of the evidence of rehabilitation factors are negatively correlated with recidivism. Persistently pursuing an employment opportunity through a contestation process may, in itself, signal rehabilitation and lower risk.


2011 ◽  
Vol 3 (2) ◽  
pp. 96-118 ◽  
Author(s):  
Joshua D Angrist ◽  
Stacey H Chen

Draft-lottery estimates of the causal effects of Vietnam-era military service using 2000 census data show marked schooling gains for veterans. We argue that these gains can be attributed to Vietnam veterans' use of the GI Bill rather than draft avoidance behavior. At the same time, draft lottery estimates of the earnings consequences of Vietnam-era service are close to zero in 2000. The earnings and schooling results can be reconciled by a flattening of the age-earnings profile in middle age and a modest economic return to the schooling subsidized by the GI Bill. Other long-run consequences of Vietnam-era service include increases in migration and public sector employment. (JEL H52, I22, I23, J24, J31, J45)


2019 ◽  
Vol 185 (3-4) ◽  
pp. e487-e494
Author(s):  
Harri Pihlajamäki ◽  
Arttu Silvennoinen ◽  
Paavo-Ilari Kuikka ◽  
Tiina Luukkaala ◽  
Heikki Kröger ◽  
...  

Abstract Introduction Injuries are the major cause of morbidity and loss of active training days in military populations. Previous investigations have mainly focused on lower extremities. This study evaluated the incidence, diagnosis, and risk factors of upper extremity injuries requiring hospitalization in a large cohort of Finnish conscripts during a 5-year period. Materials and Methods A total of 128,714 male military conscripts, who served 6–12 months in compulsory military service, were studied. Injury hospitalization data were obtained from the National Hospital Discharge Register. The main outcome variables were hospitalization due to any injuries to the upper extremity and hospitalization due to traumatic shoulder dislocation. Background variables for risk factor analysis included length of military service, age, body height and weight, body mass index, and physical fitness. Results Overall person-based incidence rate for hospitalization due to upper extremity injury was 743 (95% confidence interval [CI]: 697–791) per 100,000 conscripts per year. Shoulder joint dislocation was the most common injury: incidence rate of 103 (95% CI: 86–122) per 100,000 conscripts per year. Trend during follow-up years 1998–2002 was decreasing concerning on any upper extremity injuries (odd ratios [OR] 0.90; 95% CI: 0.86–0.95, P < 0.001). Body mass index > 25 increased a risk for any injuries of the upper extremity (OR 1.29; CI 95%: 1.10–1.51) and, especially, for shoulder joint dislocation (OR 1.88; CI 95%: 1.26–2.80). Conclusions Overweight young men were at greater risk for upper extremity injuries. The incidence rate of traumatic shoulder joint dislocation was considerably higher than reported previously. In conclusion, preventive measures such as reducing the body weight of overweight young men should play an important role in reducing the incidence of upper extremity injuries.


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