Shifting Boundaries between the Public and Private Sectors: Implications from the Economic Crisis

What are the differences between the public and private sectors as well as their interrelationships in light of the recent financial crisis? Has the global economic crisis fundamentally shifted the boundaries between the two sectors? This essay examines the nature and extent of the shift. The authors present an analysis of the Troubled Asset Relief Program (TARP) to highlight the massive transformations that are taking place and to introduce lessons for future policy initiatives. Between financial rescue missions and the economic stimulus program, government spending accounts for a bigger share of the nation’s economy—26 percent—than at any time since World War II. The government is financing 9 out of 10 new mortgages in the United States. If you buy a car from General Motors, you are buying from a company that is 60 percent owned by the government. If you take out a car loan or run up your credit card, the chances are good that the government is financing both your debt and that of your bank. —Edmund Andrews and David Sanger, New York Times, 2009     

Financial aid and for‐profit colleges: Does aid encourage entry?

Concerns over rising college tuition and slow economic growth have brought renewed attention to the role of federal and state financial aid programs in opening access to education. Despite a large body of literature examining the effects of grant aid on four‐year and public two‐year college enrollment, for‐profit colleges—particularly the vast majority that offer two‐year degrees and certificates—have largely been ignored. Using panel data methods and a new administrative data set of for‐profit colleges operating in California between 1989 and 2003, I assess the impact of the federal Pell Grant program, the G.I. Bill, and California's Cal Grant program on the net number of for‐profit colleges per county. The results suggest that for both Pell and Cal Grants, increases in the per‐student maximum award encourage for‐profit entry. This relationship is particularly strong in counties with high adult poverty levels, where more students are eligible for aid. Further, these gains in the private sector do not appear to come at the expense of the public sector. Rather, public community colleges also experience enrollment gains as the generosity of Pell and Cal Grants increases, although this reaction appears to be weaker than the reaction of for‐profits. © 2010 by the Association for Public Policy Analysis and Management.     

Uneven local implementation of federal policy after disaster: Policy conflict and goal ambiguity

As climate change continues to increase both the frequency and intensity of environmental hazards and disasters, the need for a cohesive national mitigation policy grows. As the environmental federalism scholarship indicates, the inherent tension in federal, state, and local policy implementation highlights that despite a national need, environmental quality is a local public good. To complicate matters, there is disagreement about the optimal level of decision-making regarding the adoption and implementation of environmental policy. This study addresses this gap by considering the role of policy ambiguity and conflict in policy implementation. The analysis relies on primary qualitative data collected from open-ended interviews with 22 local government officials in 12 municipalities following Hurricane Harvey. Through the lens of policy ambiguity and conflict, we find confirmatory support for the idea that policies with less ambiguous goals are more likely to be implemented. Furthermore, we find that policy conflict arises when local governments perceive there is little for the community to gain by implementing the federal program. Thus, the level of protection afforded to citizens varies greatly between communities and is influenced heavily by politics. This research supports the Ambiguity-Conflict Model of policy implementation, an oft-cited but rarely tested theoretical framework for assessing the intergovernmental politics of policy implementation. It also demonstrates the barriers to local implementation of federal environmental policy in a nested system of government.     

Mass murders in Germany – classification of surviving offenders based on the examination of court files

Personality, psychopathology, and motives of 44 surviving offenders committing mass murder in Germany over 25 years (1984–2009) were analyzed using court files and psychiatric expertises. Initially, 123 mass murders in Germany were detected in the time period 1980–2010 (inclusive deceased offenders). Using a data entry form based on ViCLAS (Violent Crime Linkage Analysis System), we categorized the 44 surviving mass murderers into three prototypes using the ‘TwoStep Cluster’-method (separation of the offenders in different groups depending on their similarity of specific items): 1. Narcissistic or aggressive men suffering from addiction or affective disorder, committing mass murder out of rage/hate when being intoxicated by alcohol, 2. Psychotic offenders with schizophrenia and comorbid substance abuse. 3. Aggressive, narcissistic or anxious adolescents, half of them suffering from affective disorder or ADHD, committing mass murder out of rage/hate. Not included are such events where the offenders died and therefore no court files or psychiatric expertises were available. Classification and subtyping of the offenders’ personalities and psychopathological conditions might help to improve the chances for an early detection of persons at risk.     

Psychometric Investigation of the Brief Child Abuse Potential Inventory in Mothers on Opioid Substitution Therapy

The identification of potential child maltreatment using reliable and valid screening instruments is of particular importance in high risk populations. The current study investigates the psychometric properties of the Brief Child Abuse Potential (BCAP) Inventory in mothers enrolled in opioid substitution therapy. The BCAP Risk Abuse scale had strong internal reliability. Comparisons between valid and invalid protocols (≥ 4 on the Lie scale, > 1 Random Responding) failed to find systematic differences across most variables although those with a faking good profile had significantly lower scores on psychological well being. A six-factor solution was obtained and was conceptually strong. Subsequent analyses suggested Rigidity may be an independent subscale that needs further investigation. These results add further evidence for the potential utility of the BCAP as a measure of child abuse potential. Replication studies are needed to ascertain whether the subscales derived have convergent and predictive utility.     

A Pimp's Game: A Rational Choice Approach to Understanding the Decisions of Sex Traffickers

We employ a rational choice framework to understand the conditions under which sex traffickers allow their victims access to telecommunications devices while under their control. We posit that sex traffickers are rational actors who make calculated decisions regarding whether to allow their victims access to the Internet and cell phones. We hypothesize that sex traffickers allow younger victims and those they did not defraud in the recruitment process greater access to telecommunications devices because these decisions maximize their payoffs with minimal risk. However, we hypothesize that younger victims’ access to telecommunications devices is conditional on whether they have been defrauded in recruitment. In order to test these hypotheses, we deployed a survey to 115 victims of sex trafficking in the United States to learn about how they were recruited by their sex trafficker and the level of access they had to technology while under their sex trafficker's control. We find support for all of our hypotheses. The results have serious implications for criminal justice policy and practice.     

Russia's Artificial Intelligence Strategy: The Role of State-Owned Firms

In 2017, Russian President Vladimir Putin declared that whichever country becomes the leader in artificial intelligence (AI) “will become the ruler of the world.” Yet Russia lags competitors like China and the United States substantially in AI capabilities. What is Russia's strategy for boosting development of AI technologies, and what role do groups within the Russian elite play in shaping this strategy? Russia's AI development strategy is unique in that it is led not by the government, nor by the private sector, but by state-owned firms. The government's distrust of Russia's largest tech firm, Yandex, has sidelined the company from national AI planning. Meanwhile, Russia's defense conglomerate Rostec publicly appears to focus less on artificial intelligence than on other high-tech priorities. As a result, Russia's AI development has been left to a state-owned bank, Sberbank, which has taken the lead in devising plans for government-backed investment in AI.