Correlation bias in U.S. census adjustment

One form of error that can affect census adjustments is correlation bias, reflecting people who are doubly missing--from the census and from the adjusted counts as well. This article presents a method for estimating the total national number of doubly-missing people and their distribution by race and sex. Application to the 1990 U.S. census adjustment leads to an estimate of 3 million doubly-missing people. Correlation bias is likely to be a serious problem for census adjustment in 2000. The methods of this article are well suited for measuring its magnitude.     

Assessing the impact of administrative policy on use of deadly force by on- and off-duty police

Deadly force research typically does not distinguish between shootings by on-duty and off-duty police. This article uses Philadelphia police shooting data from two time periods (1970-1978 and 1987-1992) and a unique quasi-experimental design to examine the comparative effects upon on- and off-duty police shootings of an administrative policy that limited police shooting discretion but that did not address questions of police weapons carrying and access to firearms. The article draws important distinctions between when to shoot and carry administrative policies and considers their impact on deadly force by on- and off-duty police.     

Data-based organizational change: the use of administrative data to improve child welfare programs and policy

Administrative databases hold the potential to have a significant impact on the development of effective child welfare programs and policies. This article discusses the strengths and weaknesses of administrative databases, issues with their implementation and data analysis, and effective presentation of their data at different levels in child welfare organizations.     

Abuse, support, and depression among homeless and runaway adolescents

This study examines the effectiveness of social support networks on psychological well-being among 602 homeless and runaway adolescents. The respondents were interviewed in shelters, drop-in centers, and on the streets in cities of four Midwestern states (Missouri, Iowa, Nebraska, and Kansas). The path model was used to test the direct effect of family abuse and precocious independence on adolescent depressive symptoms and indirect effects through social support networks. Results indicate that although abusive family origins contribute directly to depressive symptoms there are indirect effects of family abuse and early independence through social support networks. Family abuse and early independence drive homeless adolescents to rely on peers for social support. While support from friends on the street reduces depression, association with deviant peers increases depression.     

Receiving shadows: governance and liminality in the night-time economy

This paper focuses upon the emergence of the night-time economy both materially and culturally as a powerful manifestation of post-industrial society. This emergence features two key processes: firstly a shift in economic development from the industrial to the post-industrial; secondly a significant orientation of urban governance involving a move away from the traditional managerial functions of local service provision, towards an entrepreneurial stance primarily focused on the facilitation of economic growth. Central to this new economic era is the identification and promotion of liminality. The State's apparent inability to control these new leisure zones constitutes the creation of an urban frontier that is governed by commercial imperatives.     

An interactive three-stage model for mutual funds portfolio selection

The aim of this work is to be a useful instrument for helping finance practitioners on the selection of suitable mutual fund portfolios. The portfolio selection problem is characterized by imprecision and/or vagueness inherent in the required data and more generally, in the context where investors have to make decisions. In order to mitigate these problems, a three stage model has been proposed based on a multi-index model and considering several market scenarios described in an imprecise way by an expert. The proposed fuzzy model allows the Decision Maker to select, by means of an outranking method, a suitable portfolio taking into account the uncertainty related to the market scenarios and the imprecision and/or vagueness associated with the model data.     

A graph coloring approach for image segmentation

In this paper we develop a segmentation scheme for digital images based upon an iterative binary coloring technique that takes into account changing behavior of adjacent pixels. The output is a hierarchical structure of images which allows a better understanding of complex images. In particular, we propose two algorithms that should be considered as image preprocessing techniques.