The Unity Council at 40: a pioneering community development and service organization (1967-2007)

The Spanish Speaking Unity Council (Unity Council) is a community development nonprofit organization that was established in 1964, during the civil rights movement, by a group of community members who wanted to ensure the political representation of the Latino community. Over its 45-year history, the Unity Council has grown into a $12 million community development organization that delivers a range of programming, including social services and employment training as well as facilitating the development and support of local businesses, low-income housing, and neighborhood improvement activities. The history of the agency presents the multiple challenges and rewards associated with development in an underserved community and an example of the important role that leadership plays in the growth of a nonprofit.     

Who Should Pay for Interdependent Risk? Policy Implications for Security Interdependence Among Airports

We study interdependent risks in security, and shed light on the economic and policy implications of increasing security interdependence in presence of reactive attackers. We investigate the impact of potential public policy arrangements on the security of a group of interdependent organizations, namely, airports. Focusing on security expenditures and costs to society, as assessed by a social planner, to individual airports and to attackers, we first develop a game-theoretic framework, and derive explicit Nash equilibrium and socially optimal solutions in the airports network. We then conduct numerical experiments mirroring real-world cyber scenarios, to assess how a change in interdependence impact the airports' security expenditures, the overall expected costs to society, and the fairness of security financing. Our study provides insights on the economic and policy implications for the United States, Europe, and Asia.     

Transparency and Accountability Practices of Local Government Units in the Philippines: a Measurement from the Ground

Public Organization Review - The organizational practices of government personnel are indispensable components of building public trust and confidence. The 56 department heads and 662 personnel...     

Street children in Trinidad and Tobago: understanding their lives and experiences

A community-based action research process, over a three-year period, employed interviews and participant observations with five children living on the streets in Port of Spain, the capital of Trinidad and Tobago. Data revealed violence in the family to be a contributing factor to children's presence on the streets: it was also a feature of their lives on the streets. A complex pattern emerged of violence, hostility, and distorted social interactions amidst negative attitudes and disdainful behaviour all around them. It is argued that, although it is not easy, more people – professionals and citizens – would do well to listen to, and understand the lives of, street children in order to be motivated for change.     

The importance of survival units for Norbert Elias's figurational perspective

In this paper, we argue that Norbert Elias's concept of survival unit is a distinctive part of the development of his figurational sociology and one of the most consistent contributions to relational thinking. The survival unit is a particular form of figuration which provides security and the material foundations for life such as food and shelter. Every human being is born into a survival unit. This unit is a relational concept which cannot be conceived outside a relationship with other survival units.
By introducing the concept of survival unit Elias overcomes one of the key problems in relational sociology: how to demarcate primary social relations. Elias argues that human societies from very early on have been divided into survival units. These survival units are demarcated and constituted in their relationship to other survival units. Consequently, their boundaries are generated in a confrontation with other survival units.
This relationship can be peaceful or conflict ridden but in the last resort it can end with violent confrontation. Only the survival unit with the ability to defend a domain of sovereignty will survive. This observation places Elias among the few sociologists with an understanding of the role of warfare in social relationships.     

Copula structure analysis

Summary.  We extend the standard approach of correlation structure analysis for dimension reduction of high dimensional statistical data. The classical assumption of a linear model for the distribution of a random vector is replaced by the weaker assumption of a model for the copula. For elliptical copulas a correlation-like structure remains, but different margins and non-existence of moments are possible. After introducing the new concept and deriving some theoretical results we observe in a simulation study the performance of the estimators: the theoretical asymptotic behaviour of the statistics can be observed even for small sample sizes. Finally, we show our method at work for a financial data set and explain differences between our copula-based approach and the classical approach. Our new method yielear models also.     

On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

Abstract

Personalized medicine asks if a new treatment will help a particular patient, rather than if it improves the average response in a population. Without a causal model to distinguish these questions, interpretational mistakes arise. These mistakes are seen in an article by Demidenko that recommends the “D-value,” which is the probability that a randomly chosen person from the new-treatment group has a higher value for the outcome than a randomly chosen person from the control-treatment group. The abstract states “The D-value has a clear interpretation as the proportion of patients who get worse after the treatment” with similar assertions appearing later. We show these statements are incorrect because they require assumptions about the potential outcomes which are neither testable in randomized experiments nor plausible in general. The D-value will not equal the proportion of patients who get worse after treatment if (as expected) those outcomes are correlated. Independence of potential outcomes is unrealistic and eliminates any personalized treatment effects; with dependence, the D-value can even imply treatment is better than control even though most patients are harmed by the treatment. Thus, D-values are misleading for personalized medicine. To prevent misunderstandings, we advise incorporating causal models into basic statistics education.     

AN OVERVIEW OF TRADEOFF CURVES IN MANUFACTURING SYSTEMS DESIGN

In this paper we review the use of tradeoff curves in the design of manufacturing systems that can be modeled as open queueing networks. We focus particularly on the tradeoff between expected work-in-process (or product leadtime) and capacity investment in job shops. We review the algorithms in the literature to derive tradeoff curves and illustrate their application in evaluating the efficiency of the system, in deciding how much capacity to have, how to allocate resources between the reduction of uncertainty and the introduction of new technologies, and how to assess the impact of changes in products throughput and product mix. The methodology is illustrated with an example derived from an actual application in the semiconductor industry.     

Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?

We identify the effects of monetary policy on credit risk‐taking with an exhaustive credit register of loan applications and contracts. We separate the changes in the composition of the supply of credit from the concurrent changes in the volume of supply and quality, and the volume of demand. We employ a two‐stage model that analyzes the granting of loan applications in the first stage and loan outcomes for the applications granted in the second stage, and that controls for both observed and unobserved, time‐varying, firm and bank heterogeneity through time*firm and time*bank fixed effects. We find that a lower overnight interest rate induces lowly capitalized banks to grant more loan applications to ex ante risky firms and to commit larger loan volumes with fewer collateral requirements to these firms, yet with a higher ex post likelihood of default. A lower long‐term interest rate and other relevant macroeconomic variables have no such effects.     

The Burden of Labour Costs in Mexico

Abstract. We analysed labour costs in Mexico and evaluated their impact in terms of firm performance. Using a new survey, we studied how firms chose to conduct a firing procedure (i.e. mandatory payment, negotiation, or legal dispute) and the actual costs derived from that decision. We found that firms that negotiate have, on average, lower costs. This may mean that workers subvaluate the legal benefits. Moreover, legal disputes may increase firing costs by 50 per cent. We contributed to the analysis of the impact of such costs on employment and found that, when firms negotiate or pay higher costs, this decreases the level of employment. We also analysed the impact of Social Benefits on employment using an industrial survey. We found that a 10 per cent increment in these benefits may have a negative long‐term impact of 9 per cent on the level of employment.