The Personal Costs of Subprime Lending and the Foreclosure Crisis: A Matter of Trust,Insecurity, and Institutional Deception*

Objective. Research on widespread loan failures suggests that many of the mortgage loans that were made since 2000 were of a deceptive or predatory nature. This study explores the experiences and sentiments of those who are at risk of foreclosure within a broader framework of trust, individualization, and ontological security. Methods. Interviews examine families' lending experience and how they have coped with their personal troubles that resulted from their housing crisis. Results. As many of these loans were of a deceptive or predatory nature, individuals are likely to reflect on the psychological consequences of their predicament. Although these findings suggest that these individuals have lost trust in the housing market, many have internalized their situation as a personal failure. In addition, feelings of anxiety, stress, insecurity, and uncertainty have come to characterize their experiences. Conclusions. This research calls for policy recommendations that seek to restore confidence and to ensure greater consumer protection in financial markets.     

Materials receiving capacity and inventory management

This paper analyses the optimal level of materials receiving capacity for a manufacturer that receives deliveries from many suppliers. Inventory levels and inventory carrying costs depend on the frequency of deliveries and thus, on the materials receiving capacity. An analytic model that captures the tradeoff between inventory costs and materials receiving costs is presented and discussed. The receiving cost is modeled as increasing in discrete jumps of varying sizes whenever materials receiving resources are added. Practical issues in implementing the model are highlighted and methods to reduce the marginal materials receiving cost are discussed. The paper also discusses connections to the JIT approach for production environments where materials receiving is heavily automated.     

Assessing Engineering Resilience for Systems with Multiple Performance Measures

Recently, efforts to model and assess a system's resilience to disruptions due to environmental and adversarial threats have increased substantially. Researchers have investigated resilience in many disciplines, including sociology, psychology, computer networks, and engineering systems, to name a few. When assessing engineering system resilience, the resilience assessment typically considers a single performance measure, a disruption, a loss of performance, the time required to recover, or a combination of these elements. We define and use a resilient engineered system definition that separates system resilience into platform and mission resilience. Most complex systems have multiple performance measures; this research proposes using multiple objective decision analysis to assess system resilience for systems with multiple performance measures using two distinct methods. The first method quantifies platform resilience and includes resilience and other “ilities” directly in the value hierarchy, while the second method quantifies mission resilience and uses the “ilities” in the calculation of the expected mission performance for every performance measure in the value hierarchy. We illustrate the mission resilience method using a transportation systems‐of‐systems network with varying levels of resilience due to the level of connectivity and autonomy of the vehicles and platform resilience by using a notional military example. Our analysis found that it is necessary to quantify performance in context with specific mission(s) and scenario(s) under specific threat(s) and then use modeling and simulation to help determine the resilience of a system for a given set of conditions. The example demonstrates how incorporating system mission resilience can improve performance for some performance measures while negatively affecting others.     

Synergy from configuration of global production networks: drivers,mechanisms, and outcomes

Abstract

This paper explores the network synergies available from the configuration of highly dispersed, global production networks (GPNs). Synergy theory from the literature on intra-firm and inter-firm GPNs is examined in terms of drivers, mechanisms and outcomes. An explanatory model is developed and enriched via a series of extended case studies of firms undertaking re-configuration of their GPNs during the period 2003–2014. The primary finding is that firms create synergy in their GPNs by selecting specific configuration mechanisms, in response to a certain set of external drivers, in order to achieve certain synergistic outcomes. The paper classifies the main types of drivers, mechanisms and outcomes in terms of key variables and discusses their inter-connections and relationships.     

Social compromise and social metrics

In the context of constitutional design, a committee of citizens' representatives proposes (social choice) axioms. The outcome should not necessarily be the aggregation rule, or rules, satisfying each of the axioms. Alternative procedures are recommended for aggregating a set of axioms into a single summary axiom. The summary axiom generates a single social decision function when a social metric is applied.     

Psychopathology in pathological gamblers seeking treatment

High rates of psychiatric symptoms have been reported in pathological gamblers. This study of psychiatric comorbidity in pathological gamblers is the first to use structured psychiatric interviews assessing DSM-III-R Axis I and II disorders. The Structured Clinical Interview for DSM III-R (SCID-P, SCID-II) was administered to 40 (25 male, 15 male) pathological gamblers seeking outpatient treatment in Minnesota for gambling, and 64 (41 male, 23 female) controls. High lifetime rates of Axis I (92%) but not Axis II (25%) psychopathology were found in pathological gamblers as compared to controls. No differences between male and female gamblers were found in rates of affective, substance use or personality disorders. Females had higher rates of anxiety disorders and histories of physical/sexual abuse. Possible associations between psychiatric disorders and pathological gambling are discussed along with gambler typologies and implications for future research.The authors wish to gratefully acknowledge the assistance of: Gary Christenson, M.D., Carol Peterson, Ph.D., William Meller, M.D., Thomas Mackenzie, M.D.     

Reports of childhood sexual abuse by adolescents and young adults: stability over time

The consistency of childhood sexual abuse (CSA) reporting was explored in this study. Two-hundred seventeen adolescents and young adults (ages 14-24) enrolled in urban health care clinics completed self-report questionnaires assessing CSA and other problem behaviors at enrollment and at 7 months. Results indicated that the stability of CSA self-report at two time points was poor (58% consistent nonreporters of CSA, 20% consistent reporters, 22% inconsistent reporters). Consistent and inconsistent reporters were differentiated on risk measures. Adolescents who endorsed more items from the CSA scale were five times more likely to be consistent reporters. In sum, adolescent CSA reporting was quite inconsistent over time. Using multi-item scales and assessing CSA at two time points enhances accuracy of reporting.     

Opportunity theory and adolescent school-based victimization

While school-based adolescent victimization has received a great deal of public attention, there exist relatively few theoretically driven studies aimed at explaining this phenomenon. We address this paucity by providing a test of a criminal-opportunity model of school-based victimization using data on over 3,000 students from 40 different Kentucky middle and high schools. The effects of opportunity-related concepts are estimated for both violent and property victimization, and comparisons are made for each victimization type across middle- and high-school student subsamples. Findings suggest that criminal opportunity theory is relevant to the understanding of school-based victimization. In particular, indicators of exposure to crime and target antagonism appear to be robust predictors. Further, there appears to be substantial generalizability in the effects of opportunity-related variables across violent versus property victimization as well as across middle-school versus high-school contexts.     

Econometric reviews

New approaches to Modeling, Specification Selection and Econometric Inference, edited by W. A. Barnett and A. R. Gallant.