Integrating Entropy‐Based Naïve Bayes and GIS for Spatial Evaluation of Flood Hazard

Regional flood risk caused by intensive rainfall under extreme climate conditions has increasingly attracted global attention. Mapping and evaluation of flood hazard are vital parts in flood risk assessment. This study develops an integrated framework for estimating spatial likelihood of flood hazard by coupling weighted naïve Bayes (WNB), geographic information system, and remote sensing. The north part of Fitzroy River Basin in Queensland, Australia, was selected as a case study site. The environmental indices, including extreme rainfall, evapotranspiration, net‐water index, soil water retention, elevation, slope, drainage proximity, and density, were generated from spatial data representing climate, soil, vegetation, hydrology, and topography. These indices were weighted using the statistics‐based entropy method. The weighted indices were input into the WNB‐based model to delineate a regional flood risk map that indicates the likelihood of flood occurrence. The resultant map was validated by the maximum inundation extent extracted from moderate resolution imaging spectroradiometer (MODIS) imagery. The evaluation results, including mapping and evaluation of the distribution of flood hazard, are helpful in guiding flood inundation disaster responses for the region. The novel approach presented consists of weighted grid data, image‐based sampling and validation, cell‐by‐cell probability inferring and spatial mapping. It is superior to an existing spatial naive Bayes (NB) method for regional flood hazard assessment. It can also be extended to other likelihood‐related environmental hazard studies.     

De-individualising autobiography: a reconsideration of the role of autobiographical life writing within disability studies

This article pursues a reconsideration of the role of autobiographical life writing within the context of disability studies. I respond to concerns that this genre tends toward a problematic and politically limiting individualism that undermines the consideration of disability as a social phenomenon, reproduces the depiction of disabled people as isolated outcasts, and replicates the meritocratic myths of personal achievement that dominate contemporary western capitalism. While not rejecting these concerns in their entirety, I attempt to develop a particular set of reading practices that may be productively employed to strategically work against the individualising tendencies of autobiographical life writing. These strategies include a commitment to seeing the realm of the ‘private’ as social, reading auto/biographically, and seeking to deconstruct the narrative myth of the liberal humanist ‘choosing’ subject. In conclusion, I offer a brief discussion of the particular ethical and methodological opportunities created by the greater consideration of these texts within disability studies.     

THE DYNAMIC EFFECTS OF U.S. FOOD AID

Although food aid may have important medium- to long-term effects, there is a glaring absence of empirical research on food aid dynamics. This paper applies vector autoregression methods to data from 18 countries over the period 1961–95. We find evidence that food aid has a pronounced J-curve effect on recipient country per capita commercial food imports but only negligible negative effects on recipient country per capita food production. The commercial export gains are primarily enjoyed, however, by the donors' competitors, revealing heretofore unrecognized positive pecuniary trade externalities associated with foreign assistance. ( JEL F14, O13, Q17, Q18)     

Assessment of the Regional Economic Impacts of Catastrophic Events: CGE Analysis of Resource Loss and Behavioral Effects of an RDD Attack Scenario

We investigate the regional economic consequences of a hypothetical catastrophic event—attack via radiological dispersal device (RDD)—centered on the downtown Los Angeles area. We distinguish two routes via which such an event might affect regional economic activity: (i) reduction in effective resource supply (the resource loss effect) and (ii) shifts in the perceptions of economic agents (the behavioral effect). The resource loss effect relates to the physical destructiveness of the event, while the behavioral effect relates to changes in fear and risk perception. Both affect the size of the regional economy. RDD detonation causes little capital damage and few casualties, but generates substantial short‐run resource loss via business interruption. Changes in fear and risk perception increase the supply cost of resources to the affected region, while simultaneously reducing demand for goods produced in the region. We use results from a nationwide survey, tailored to our RDD scenario, to inform our model values for behavioral effects. Survey results, supplemented by findings from previous research on stigmatized asset values, suggest that in the region affected by the RDD, households may require higher wages, investors may require higher returns, and customers may require price discounts. We show that because behavioral effects may have lingering long‐term deleterious impacts on both the supply‐cost of resources to a region and willingness to pay for regional output, they can generate changes in regional gross domestic product (GDP) much greater than those generated by resource loss effects. Implications for policies that have the potential to mitigate these effects are discussed.     

Social network capital, economic mobility and poverty traps

This paper explores the role social network capital might play in facilitating poor agents?? escape from poverty traps. We model and simulate endogenous link formation among households heterogeneously endowed with both traditional and social network capital who make investment and technology choices over time in the absence of financial markets and faced with multiple production technologies featuring different fixed costs and returns. We show that social network capital can either complement or substitute for productive assets in facilitating some poor households?? escape from poverty. However, the voluntary nature of costly link formation also creates exclusionary mechanisms that impede some poor households?? use of social network capital. Through numerical simulation, we show that the ameliorative potential of social networks therefore depends fundamentally on the broader socio-economic wealth distribution in the economy, which determines the feasibility of social interactions and the net intertemporal benefits resulting from endogenous network formation. In some settings, targeted public transfers to the poor can crowd-in private resources by inducing new social links that the poor can exploit to escape from poverty.     

When should there be liability for negligently causing psychiatric illness?

In March 1998 the Law Commission for England and Wales published the outcome of its review of the law on compensation of those who suffer psychiatric illness as a result of the negligence of another person. The report is largely, although not solely, concerned with work-related illness. It also reviews the literature on the incidenc and forms of psychiatric illness. It makes recommendations for legislation. This paper critically summarizes the findings of the Commission and concludes with some comments. It questions the appropriateness of common law litigation for these kinds of injury. It also comments on whether the Commission's recommendations will be implemented by Parliament and the likely impact of the proposed revision of the law upon the incidence of litigation.     

Adult and Child Food Insecurity Among Homeless and Precariously-Housed Families at the Close of the Twentieth Century

Population Research and Policy Review - No national studies have assessed adult and child food insecurity (AFI and CFI, respectively) among homeless and precariously-housed families and the...     

Consistent Tests for Stochastic Dominance

Methods are proposed for testing stochastic dominance of any pre–specified order, with primary interest in the distributions of income. We consider consistent tests, that are similar to Kolmogorov–Smirnov tests, of the complete set of restrictions that relate to the various forms of stochastic dominance. For such tests, in the case of tests for stochastic dominance beyond first order, we propose and justify a variety of approaches to inference based on simulation and the bootstrap. We compare these approaches to one another and to alternative approaches based on multiple comparisons in the context of a Monte Carlo experiment and an empirical example.     

Couple’s Relationship With Diabetes: Means and Meanings for Management Success

Diabetes is a serious chronic illness that involves individuals, couples, and families in complex reciprocal interactions with the illness and other life dimensions. A major issue in diabetes management is how well the patient is able to follow the established medical regimen of selfcare. Situated within personal, physical, and social contexts, the meaning that a couple creates and the emotions they feel in their adaptation to living with diabetes and its demanding regimen can be viewed as the couple’s relationship with diabetes.