IMPOSED HEALTH INSURANCE IN MONOPOLISTIC MARKETS: A THEORETICAL ANALYSIS

The impact of public health insurance on price and output of medical care is analyzed within the context of monopolistic markets for health services. An important result, which is not obtained in competitive markets, is that indemnity benefits cause smaller price increases than service benefits, both directly and indirectly through the effect of benefit structure on the production of information. Various types of price regulation are considered, including limitation to "usual, customary, and prevailing" levels, a frequently used technique. With a simple dynamic model this type of regulation is shown to cause chronic price inflation.     

Government, Social Services Departments and the Health of Children and Young People: Which Way Forward?

Summary Despite the dearth of research into the health of children andyoung people in contact with or ‘looked after’ bylocal authorities, a series of official and quasi-official reportshave begun to raise awareness of this issue. There are goodreasons to believe that this group of children will be disadvantagedin terms of health as they are in other aspects of their lives.The evidence suggests that local authorities do not live upto the standards of ‘good parents’. Current notionsof good practice are critically appraised and the article concludesthat social work is unable to do more than mitigate the effectsof Government policies which affect health and social servicesand which have lead to widening social inequalities.     

Building Care Management Competence in Services for People with Learning Disabilities

Correspondence to Paul Cambridge, Tizard Centre, The University of Kent at Canterbury, Canterbury, Kent CT2 7LZ, UK. Summary This paper examines care management arrangements in servicesfor people with learning disabilities. Its perspective is informedby research on the long-term outcomes and costs of care in thecommunity for people with learning disabilities (Cambridge etal., 1994) and by earlier experimental approaches to care managementin Britain. Building on arguments developed by the author ina position paper in 1992 (Cambridge, 1992), the focus here shiftsto the performance of mainstream care management in servicesfor people with learning disabilities, with an identificationand review of critical dimensions for reviewing competence.Lessons from earlier experimental and demonstration approachesare used to inform the analysis and to construct pointers forcommissioners or providers who are looking to assess the effectivenessof care management arrangements in learning disability withintheir own service systems.     

Does Ownership Form Matter for Corporate Social Responsibility? A Longitudinal Comparison of Environmental Performance between Public,Private, and Joint‐venture Firms

This study examines whether a firm's ownership form has any influence on its social performance. Conventional wisdom suggests that public (publicly traded) corporations are more susceptible to corruption and socially irresponsible behavior than privately owned corporations because of the intense short‐term profit maximization pressure from shareholders and the lack of sufficient monitoring mechanisms. This study introduces an alternate perspective in thinking about the relationship between ownership form and corporate social responsibility. This study reasons that public corporations are more likely to become socially responsible because of their greater exposure to external influence and greater dependence on external actors with diverse interests. Using a panel data on the pollution management practices of 118 industrial facilities over a 13‐year period, this study shows that public corporations were indeed subject to greater external pressure to reduce pollution, and the pressure led to consistently stronger environmental performance.     

Density Estimation by Total Variation Penalized Likelihood Driven by the Sparsity ℓ1 Information Criterion

Abstract. We propose a non‐linear density estimator, which is locally adaptive, like wavelet estimators, and positive everywhere, without a log‐ or root‐transform. This estimator is based on maximizing a non‐parametric log‐likelihood function regularized by a total variation penalty. The smoothness is driven by a single penalty parameter, and to avoid cross‐validation, we derive an information criterion based on the idea of universal penalty. The penalized log‐likelihood maximization is reformulated as an ?₁‐penalized strictly convex programme whose unique solution is the density estimate. A Newton‐type method cannot be applied to calculate the estimate because the ?₁‐penalty is non‐differentiable. Instead, we use a dual block coordinate relaxation method that exploits the problem structure. By comparing with kernel, spline and taut string estimators on a Monte Carlo simulation, and by investigating the sensitivity to ties on two real data sets, we observe that the new estimator achieves good L ₁ and L ₂ risk for densities with sharp features, and behaves well with ties.