Dimensions Of Well-Being And Their Measurement: The Spf-Il Scale

What are the dimensions of well-being? That is, what universal goals need to be realized by individuals in order to enhance their well-being? Social production function (SPF) theory asserts that the universal goals affection, behavioral confirmation, status, comfort and stimulation are the relevant dimensions of subjective well-being. Realization of these substantive goals and the perspective on opportunities to realize these goals in the future contributes to the affective and cognitive component of well-being. The theoretical elaboration of this theory has been published elsewhere. This paper provides a measurement instrument for the dimensions of well-being. To measure levels of affection, behavioral confirmation, status, comfort and stimulation and empirically validate the dimensions of well-being, the SPF-IL scale was developed. This paper presents findings from a pilot study (n=145), the main study (n=1094), a test–retest examination (n=163), and a validation study (n=725). The measurement model was tested by means of structural equation modeling. Confirmatory factor analysis supported the dimensional structure of well-being indicating construct validity. The overall fit of the model was sufficient, in spite of the somewhat problematic measurement of status, and the test–retest study showed an acceptable level of stability. As for the content validity of the dimensions and their measurement, various sub-studies showed that the SPF-IL scale is a valid instrument, doing at least as well as popular measures of overall well-being but also specifying its dimensions.     

Cost containment in complex social security systems: The limitations of targeting

Two aspects of the structure of existing social security systems limit the scope for containing costs by increasing targeting: the insurance principle, and the use of category membership to establish eligibility for benefits. The first aspect is antithetical to targeting because the most needy people are also the most likely to fail to establish an adequate contributions record. Some countries appear committed to maintaining the insurance principle because it is part of the fabric of the relationship between employers, employees and the State. The second aspect can be seen as an effective way of identifying groups whose income is likely to fall short of their needs. However, the primary function of category definition is to establish the legitimacy of claims—to examine why a shortfall of income in relation to needs has arisen, what personal responsibility the claimant bears, and what alternative mechanisms might be available. Several countries have revised category definitions in response to issues about the motivation and "deservingness" of claimants. We designate as "pseudo-targeting" reforms of this type, which are not likely to result in the allocation of a higher share of social expenditure to the worst-off. The scope for increasing targeting in existing systems is very restricted, reflecting the limitations of the concept. Non-categorical social assistance is the archetypal targeted benefit, and it has serious limitations. The obstacles to targeting are integral to the legitimation of social security. If targeting reforms undermine this legitimating structure, they risk undermining the claim on resources exercised by the social security system.     

Reclassifying causes of death to study the epidemiological transition in The Netherlands, 1875–1992

This article describes a method for reclassifying causes of death in the Netherlands for the period 1875–1992. Two criteria should be met to obtain a useful classification to study the epidemiological transition. First, the categories should be nosologically continuous over the period under study and second, there should be enough detail in causes which are important in the context of the epidemiological transition viz. communicable diseases, non-communicable diseases and external causes of death. A method developed by Vallin and Meslé (1988), which involves ‘dual correspondence tables’ and ‘fundamental associations’, was used to create nosologically continuous categories. These categories were tested for statistical continuity during the transition years of one ICD-revision to the next, using ordinary least squares regression analysis. The reclassification procedure resulted in a nested classification consisting of three levels of refinement of causes of death: 27 causes, 1875–1992; 65 causes, 1901–1992; and 92 causes, 1931–1992. On the basis of this classification, 43% of all deaths in 1875–79 and 98% of all deaths in 1992 could be allocated to either communicable diseases, non-communicable diseases or external causes.     

Domestic Violence: A case of the Disappearing Victim?†

This article examines the current theoretical constructions of the phenomenon of domestic violence, and their therapeutic implications. It attempts to draw out the latent socio-political content of that theorizing, arguing that throughout the various approaches there is a consistent de-emphasizing of the woman's position as victim of the violent act. An alternative analysis is offered, one which recognizes gender inequality as fundamental to any understanding of domestic violence, and the implications for therapeutic work in this area are briefly explored.     

A Flexible Evaluative Framework for Order Picking Systems

This paper develops a novel framework to evaluate the integral performance of order picking systems with different combinations of storage and order picking policies. The warehousing literature on order picking mostly considers minimizing either elapsed time or distance as the sole objective, whereas warehouse managers in a supply chain have to look beyond single‐dimensional performance and consider trade‐offs among different criteria. Thus managers still need a unified and efficient framework to select a portfolio of appropriate order picking policies from a multi‐criteria and contextual perspective. Our framework—combining data envelopment analysis, ranking and selection, and multiple comparisons—provides an efficient methodology to simultaneously analyze several interrelated problems in order picking systems with multiple performance attributes, such as service levels and operational costs. We demonstrate our approach through comprehensive evaluations of order picking policies in three low‐level, picker‐to‐parts rectangular warehouses facing demand variations.     

Identifying Technology Spillovers and Product Market Rivalry

The impact of R&D on growth through spillovers has been a major topic of economic research over the last thirty years. A central problem in the literature is that firm performance is affected by two countervailing “spillovers” : a positive effect from technology (knowledge) spillovers and a negative business stealing effects from product market rivals. We develop a general framework incorporating these two types of spillovers and implement this model using measures of a firm's position in technology space and productmarket space. Using panel data on U.S. firms, we show that technology spillovers quantitatively dominate, so that the gross social returns to R&D are at least twice as high as the private returns. We identify the causal effect of R&D spillovers by using changes in federal and state tax incentives for R&D. We also find that smaller firms generate lower social returns to R&D because they operate more in technological niches. Finally, we detail the desirable properties of an ideal spillover measure and how existing approaches, including our new Mahalanobis measure, compare to these criteria.     

Small sample study on estimators of life distributions and of mean survival times using randomly censored data

Whereas large-sample properties of the estimators of survival distributions using censored data have been studied by many authors, exact results for small samples have been difficult to obtain. In this paper we obtain the exact expression for the ath moment (a > 0) of the Bayes estimator of survival distribution using the censored data under proportional hazard model. Using the exact expression we compute the exact mean, variance and MSE of the Bayes estimator. Also two estimators ofthe mean survival time based on the Kaplan-Meier estimator and the Bayes estimator are compared for small samples under proportional hazards.