The financial health of voluntary hospitals in interwar Britain

This article re–evaluates the gravity of the financial problems facing British voluntary hospitals in the interwar period. A relational database of statistics on hospital provision, finance (at both current and constant prices), and activity is used to derive consistent sets of hospitals for reporting purposes. The article presents novel analyses of the extent and pattern of hospital surpluses and deficits; of the capital accounts of selected individual hospitals; of trends in hospital expenditure; of the diversification of hospital income, emphasizing the declining importance of traditional philanthropy; and of the effect of these changes on hospital provision and utilization.     

韩国政府为实现环保型企业经营的政策及方案

文章论述了环境问题对人类的重要性及创造环保型的企业环境需要解决的问题,在此基础上,提 出了为实现环保型企业经营韩国政府所应该采用的政策及具体的实施方案。     

The toxic syndrome proceedings in Spain

The author, who has been counsel for the injured in the Spanish olive oil proceedings, reports about the health, political and legal issues of this the greatest tragic event in recent Spanish history. The complexity of the marketing processes has made it difficult to trace the criminal responsibilities of the traders of denatured oil. The civil servants in charge of control and supervision have so far been exempted from the proceedings. The author analyses the legal problems and makes suggestions as to the handling of such cases, including compensation.

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Die spanischen Strafverfahren im Zusammenhang mit dem Olivenölskandal

Zusammenfassung Der Bericht untersucht die Entstehung und Abwicklung des spanischen Strafverfahrens im Olivenölskandal. Im Jahre 1981 sind durch kontaminiertes Speiseöl nahezu 1,000 Menschen — meistens aus ärmeren Schichten herkommend — an schweren Vergiftungen gestorben und weitere tausend schwer erkrankt. Die Behörden haben nur zögerlich auf die größte Gesundheitskatastrophe in der spanischen Geschichte, das sog. síndrome tóxico, reagiert und das Strafverfahren gegen die verantwortlichen Händler erst nach langer Verzögerung, gegen die nachlässigen Beamten der Aufsichtsbehörden noch gar nicht eingeleitet. Die kaum aufklärbaren Wege der Vermarktung des vergifteten Öles machten es schwierig, die für die Opfer verantwortlichen Personen aufzufinden und ihre Schuld nachzuweisen. Der Autor, der als Vertreter der geschädigten Nebenkläger bzw. ihrer Familien das umfangreiche, noch nicht durch ein Urteil abgeschlossene Strafverfahren vor der audencia nacionál in Madrid mehrere Jahre aktiv begleitet hat, untersucht die rechtlichen und tatsächlichen Probleme einer kollektivrechtlichen Bewältigung des síndrome tóxico und macht Verbesserungsvorschläge, auch zur Opferentschädigung. Ein Postskrip berichtet über das nach Fertigstellung am 20. März gefällte Urteil ins Strafverfahren gegen die aceiteros.

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Ignacio de Uriarte Bofarull is a lawyer in Madrid and legal counsel to OCU (Organisación de los consumidores y usuarios). He has represented part of the victims as private attorney in the legal proceedings against the aceiteros. His address: Goya 99, Madrid — 9, Spain.     

Wage rigidity and capital mobility in an optimizing model of a small open economy

Summary This paper formulates an optimizing model of a small open economy with a representative (immortal) household, a firm and a government. The asset menu consists of domestic currency, non-traded bonds and traded bonds. There is a risk premium on traded bonds, which leads to deviations from perfect capital mobility and uncovered interest parity. Taxes are lump-sum, so that finance by bonds and by taxation are equivalent. The model allows for current-account and wealth dynamics. The model assumes either purchasing power parity or imperfect substitution between home and foreign goods and either labour market equilibrium, nominal wage rigidity or real wage rigidity. The steady-state effects of a fiscal contraction, a monetary disinflation and an increase in the world interest rate are discussed. The transient effects of these policies are analysed with the aid of a multiple shooting algorithm.We thank Gerard Staarink for implementing the multiple shooting algorithm used in section 4 and we thank Professors M. Fase and J. Pen for their constructive comments on a previous version of this paper. The paper is a shortened version of discussion paper No. 168 of the Centre for Economic Policy Research, London.     

Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.     

Robustness issues in multilevel regression analysis

A multilevel problem concerns a population with a hierarchical structure. A sample from such a population can be described as a multistage sample. First, a sample of higher level units is drawn (e.g. schools or organizations), and next a sample of the sub‐units from the available units (e.g. pupils in schools or employees in organizations). In such samples, the individual observations are in general not completely independent. Multilevel analysis software accounts for this dependence and in recent years these programs have been widely accepted. Two problems that occur in the practice of multilevel modeling will be discussed. The first problem is the choice of the sample sizes at the different levels. What are sufficient sample sizes for accurate estimation? The second problem is the normality assumption of the level‐2 error distribution. When one wants to conduct tests of significance, the errors need to be normally distributed. What happens when this is not the case? In this paper, simulation studies are used to answer both questions. With respect to the first question, the results show that a small sample size at level two (meaning a sample of 50 or less) leads to biased estimates of the second‐level standard errors. The answer to the second question is that only the standard errors for the random effects at the second level are highly inaccurate if the distributional assumptions concerning the level‐2 errors are not fulfilled. Robust standard errors turn out to be more reliable than the asymptotic standard errors based on maximum likelihood.     

Environmental uncertainty, supply chain relationship quality and performance

Environmental uncertainty is a fact of life in today's supply chains. In this paper we develop a model of environmental uncertainty, supply chain (SC) relationship quality and SC performance. We use data from the electronics sector in Ireland to test our model. Our results provide mixed support for the model, with the moderating role of both demand and supply uncertainty being supported, but technological uncertainty not supported. We reflect on these findings and suggest a research agenda based on our results.     

SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS

Abstract.  This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi-parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated.     

Nash-equilibria in a heterogeneous oligopoly with fuzzy information

We consider a model of an oligopolistic market with heterogeneous firms and products where neither the cost nor the demand functions are common knowledge. Instead, each firm only has some vague ideas about the price strategies adopted by its competitors which is modelled by a fuzzy set. In analogy to the notion of an "equilibrium of actions and beliefs" we define and characterize a generalized Nash-equilibrium and show its existence under general conditions. Furthermore, the impact of the fuzzy information on the equilibrium outcome is analyzed by means of a comparative static analysis within a particular model framework.Received: 28 May 2002, Accepted: 25 December 2002, JEL Classification: D43, D80, L13We wish to thank Bernhard F. Arnold, the editor Murat Sertel , and two anonymous referees for helpful comments. Of course, we are responsible for all remaining errors.