Imposing the Regular Ultra Passum law in DEA models

Recently there has been some discussion in the literature concerning the nature of scale properties in the Data Envelopment Model (DEA). It has been argued that DEA may not be able to provide reliable estimates of the optimal scale size. We argue in this paper that DEA is well suited to estimate optimal scale size, if DEA is augmented with two additional maintained hypotheses which imply that the DEA-frontier is consistent with smooth curves along rays in input and in output space that obey the Regular Ultra Passum (RUP) law, i.e. monotonically decreasing scale elasticities. A necessary condition for a smooth curve passing through all vertices to obey the RUP-law is presented. If this condition is satisfied then upper and lower bounds for the marginal product at each vertex are presented. It is shown that any set of feasible marginal products will correspond to a smooth curve passing through all points with a monotonic decreasing scale elasticity. The proof is constructive in the sense that an estimator of the curve is provided with the desired properties. A typical DEA based return to scale analysis simply reports whether or not a DMU is at the optimal scale based on point estimates of scale efficiency. A contribution of this paper is that we provide a method which allows us to determine in what interval optimal scale is located.     

The Effects of European Regulatory Networks on the Bureaucratic Autonomy of National Regulatory Authorities

This article discusses the effects of European regulatory networks on the bureaucratic autonomy of national regulators as regards regulatory rule-enforcement and rulemaking. Drawing on institutional theory, the article elaborates scope conditions for networks to yield an effect along this property and assesses these arguments in a study of the formation and institutionalization of the European Competition Network and how it structures relationships between competition authorities and resort ministries in The Netherlands, Sweden and the non-EU member-state Norway. It is argued that by virtue of accumulating and embedding strong norms of independence, the network yields an “autonomizing” effect vis-à-vis participating organizations.     

Voluntarism in Urban Regeneration: Civic,Charity or Hybrid? Experiences from Danish Area-Based Interventions

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Area-based initiatives (ABIs) is a frequently used strategy within contemporary urban regeneration policies to tackle...     

Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling

The normal inverse Gaussian distribution is defined as a variance-mean mixture of a normal distribution with the inverse Gaussian as the mixing distribution. The distribution determines an homogeneous Lévy process, and this process is representable through subordination of Brownian motion by the inverse Gaussian process. The canonical, Lévy type, decomposition of the process is determined. As a preparation for developments in the latter part of the paper the connection of the normal inverse Gaussian distribution to the classes of generalized hyperbolic and inverse Gaussian distributions is briefly reviewed. Then a discussion is begun of the potential of the normal inverse Gaussian distribution and Lévy process for modelling and analysing statistical data, with particular reference to extensive sets of observations from turbulence and from finance. These areas of application imply a need for extending the inverse Gaussian Lévy process so as to accommodate certain, frequently observed, temporal dependence structures. Some extensions, of the stochastic volatility type, are constructed via an observation-driven approach to state space modelling. At the end of the paper generalizations to multivariate settings are indicated.     

Personal assistance—direct payments or alternative public service. Does it matter for the promotion of user control?

Personal assistance organised as direct payments is seen as an important means for securing user control and freeing disabled people from their reliance on welfare professionals and unpaid carers. The hypothesis put forward in the article is that just looking at whether personal assistance is organised as direct payments or as an alternative service represents an overly restricted approach to judge how the user’s preferences are taken care of. By comparing models of personal assistance in the US, the UK, Sweden and Norway it will show that several other factors influence user control. In the final part of the article the question is raised as to whether paternalism is always negative for welfare service users. Since the users constitute a broad group it might be questioned if the assumption of the service users as rational, well informed and competent to make the best choices is always valid.     

Former welfare clients in prison: education and self-reported learning problems

The aim of this study is to investigate educational background, educational wishes, actual participation in prison education, and self-reported learning problems among former child welfare clients in prison. A significant concern is that prisoners' educational level is far lower than for the general population. The same concern has also been expressed regarding former child welfare clients. The question is whether prisoners with a background from the child welfare system are especially vulnerable. The survey reported in this paper addressed the entire Norwegian prison population. We distributed a questionnaire containing questions about whether the prisoner or their family had been in contact with the welfare system, educational issues such as educational background, whether they wanted to participate in prison education and actually participated, and to what extent the participants had self-reported learning problems. We also investigated whether such learning problems affected participation in prison education. The results showed that around one-third of the 2065 respondents were former child welfare clients. The mean age of the respondents in the child welfare group was 31 years and 7.9% were women. The results further revealed that those who had been child welfare clients had a lower educational level and more self-reported learning problems than the general prison population, but most of them still wished to start an education while incarcerated.     

Personal Assistance for People with Intellectual Impairments: experiences and dilemmas

The article gives an account of how personal assistance is adapted to people with intellectual impairments in Norway and the experiences with the arrangement for this target group. Most space, however, is given to a discussion of the challenges and dilemmas of including people with intellectual impairments in the target group for personal assistance, since other people than the user as a rule fill the role as manager of the service. Special attention is paid to the parents' role since they often act as managers on behalf of their sons/daughters. Furthermore, the assistants' role is discussed and the importance of how they meet the users. Finally, there is a discussion of the consequences the extension of personal assistance to intellectually impaired users might have both for personal assistance as a service and for the ordinary care services.     

Detection of biomass change in a Norwegian mountain forest area using small footprint airborne laser scanner data

Different approaches for estimation of change in biomass between two points in time by means of airborne laser scanner data were tested. Both field and laser data were collected at two occasions on 52 sample plots in a mountain forest in southeastern Norway. In the first approach, biomass change was estimated as the difference between predicted biomass for the two measurement occasions. Joint models for the biomass at both occasions were fitted using different height and density variables from laser data as explanatory variables. The second approach modelled the observed change directly using the change in different variables extracted from the laser data as explanatory variables. In the third approach we modelled the relative change in biomass. The explanatory variables were also expressed as relative change between measurement occasions. In all approaches we allowed spline terms to be entered. We also investigated the aptness of models for which the residual variance was modeled by allowing it to be proportional to the area of the plot on which biomass was assessed. All alternative models were initially assessed by AIC. All models were also evaluated by estimating biomass change on the model development data. This evaluation indicated that the two direct approaches (approach 2 and 3) were better than relying on modeling biomass at both occasions and taking change as the difference between biomass estimates. Approach 2 seemed to be slightly better than approach 3 based on assessments of bias in the evaluation.     

Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model

Sensitivity analysis for unmeasured confounding should be reported more often, especially in observational studies. In the standard Cox proportional hazards model, this requires substantial assumptions and can be computationally difficult. The marginal structural Cox proportional hazards model (Cox proportional hazards MSM) with inverse probability weighting has several advantages compared to the standard Cox model, including situations with only one assessment of exposure (point exposure) and time-independent confounders. We describe how simple computations provide sensitivity for unmeasured confounding in a Cox proportional hazards MSM with point exposure. This is achieved by translating the general framework for sensitivity analysis for MSMs by Robins and colleagues to survival time data. Instead of bias-corrected observations, we correct the hazard rate to adjust for a specified amount of unmeasured confounding. As an additional bonus, the Cox proportional hazards MSM is robust against bias from differential loss to follow-up. As an illustration, the Cox proportional hazards MSM was applied in a reanalysis of the association between smoking and depression in a population-based cohort of Norwegian adults. The association was moderately sensitive for unmeasured confounding.     

Trends in Development Aid,Negotiation Processes and NGO Policy Change

Non-governmental organizations (NGO) and government donor agencies (GDA) are often caught in a dilemma; an NGO between responsiveness to its target group(s), expectations of individual donors and demands of its GDA; GDA between its policy to respect NGO’s integrity, its wish to keep NGOs accountable for received fund and its operation within the bounds of its general policies. This dilemma is mirrored in the NGO–GDA negotiation for funds. Based on negotiation theory and using three explanatory approaches, 18 years of negotiations between an NGO, Vi Skogen (ViS) and its GDA, the Swedish International Development Cooperation Agency (Sida), are analyzed in order to demonstrate how organizational structures, power relations and the context influence the outcome of the negotiations. All three approaches help to explain how ViS managed, mainly in the interest of its individual donors, to resist changes demanded by Sida and also to explain how the agendas of ViS and Sida finally converged.