Spatial and temporal residential density patterns from 1940 to 2000 in and around the Northern Forest of the Northeastern United States

Over the past 60 years, housing growth has outpaced population growth in the United States. Conservationists are concerned about the far-reaching environmental impacts of housing development, particularly in rural areas. We use clustering analysis to examine the pattern and distribution of housing development since 1940 in and around the Northern Forest, a heavily forested region with high amenity and recreation use in the Northeastern United States. We find that both proximity to urban areas and an abundance of natural amenities are associated with housing growth at the neighborhood level in this region. In the 1970s, counterurbanization led to higher rates of growth across rural areas. The Northern Forest now has extensive interface between forest vegetation and residential development, which has the potential to profoundly alter the ecological and social benefits of these forests.     

Experience with a bayesian bootstrap method incorporating proper prior information

Although bootstrapping has become widely used in statistical analysis, there has been little reported concerning bootstrapped Bayesian analyses, especially when there is proper prior informa-tion concerning the parameter of interest. In this paper, we first propose an operationally implementable definition of a Bayesian bootstrap. Thereafter, in simulated studies of the estimation of means and variances, this Bayesian bootstrap is compared to various parametric procedures. It turns out that little information is lost in using the Bayesian bootstrap even when the sampling distribution is known. On the other hand, the parametric procedures are at times very sensitive to incorrectly specified sampling distributions, implying that the Bayesian bootstrap is a very robust procedure for determining the posterior distribution of the parameter.     

CHOICE DILEMMA AS A PREDICTOR OF GROUP RISK BEHAVIOR1

Interest in the Choice Dilemma Questionnaire (CDQ) has centered around the risk shift paradigm rather than around using the CDQ as a measure of an individual's risk preferences. Using 45 lower and middle management bankers as subjects in a computer-based simulation game, the authors found a significant relationship (p < .05) between risk propensity of group members and an independent measure of group risk behavior. Thus, the CDQ may be a more general measure of risk preference than is commonly assumed.     

Tensions between (Post)Bureaucratic and Neo-normative Demands: Investigating Employees’ Subjective Positions at EurAirport

The introduction of a neo-normative discourse in a (post)bureaucratic organization can result in tensions between the neo-normative injunction to be authentic and exhortations to fit with the ideal (post)bureaucratic organizational subject. Focusing on how shopfloor workers subjectively experience the tensions between neo-normative and (post)bureaucratic demands, this empirical investigation yielded three major contributions. First, it pinpointed and addressed significant gaps in existing studies of normative and neo-normative discourse. Second, the study better distinguished normative and neo-normative control on the basis of two tensions: (1) authenticity versus conformity; and (2) conflation versus differentiation between life and work. Third, the study identified four distinct subject positions that demonstrated how organizational participants creatively appropriate and strive to resolve these two tensions in a work setting that mixes normative and neo-normative control.