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Rich Database (rich + database)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	40%

Selected Abstracts

Developing new measures of welfare state change and reform

EUROPEAN JOURNAL OF POLITICAL RESEARCH, Issue 5 2002
Francis G. Castles
Since the publication of Gøsta Esping,Andersen's The Three Worlds of Welfare Capitalism (Esping,Andersen 1990), which built its typologies on a rich database of detailed programme characteristics, it has been generally accepted that measures of social expenditure are an inferior, and even a misleading, source of information concerning the character of welfare state development. The problem is, however, that the kinds of detailed programme data Esping,Andersen used are not routinely available, while the quality of social expenditure data has been improving rapidly, culminating in the Organisation for Economic Cooperation and Development's (OECD) now regularly updated and highly disaggregated Social Expenditure Database (SOCX). This article explores the possibility of using SOCX to devise measures of the extent, structure and trajectory of welfare state change and reform in 21 OECD countries over the period 1984 to 1997. On the basis of these measures, it suggests that there has been almost no sign of systematic welfare retrenchment in recent years and only limited evidence of major structural transformation or programmatic reorientation. [source]

Building a Partnership to Evaluate School-Linked Health Services: The Cincinnati School Health Demonstration Project

JOURNAL OF SCHOOL HEALTH, Issue 10 2005
Barbara L. Rose
Partners from the Cincinnati Health Department, Cincinnati Public Schools, Cincinnati Children's Hospital Medical Center, and The Health Foundation of Greater Cincinnati wanted to determine if levels of school-linked care made a difference in student quality of life, school connectedness, attendance, emergency department use, and volume of referrals to health care specialists. School nurses, principals and school staff, parents and students, upper-level managers, and health service researchers worked together over a 2.5-year period to learn about and use new technology to collect information on student health, well-being, and outcome measures. Varying levels of school health care intervention models were instituted and evaluated. A standard model of care was compared with 2 models of enhanced care and service. The information collected from students, parents, nurses, and the school system provided a rich database on the health of urban children. School facilities, staffing, and computer technology, relationship building among stakeholders, extensive communication, and high student mobility were factors that influenced success and findings of the project. Funding for district-wide computerization and addition of school health staff was not secured by the end of the demonstration project; however, relationships among the partners endured and paved the way for future collaborations designed to better serve urban school children in Cincinnati. (J Sch Health. 2005;75(10):363-369) [source]

A simple validated GIS expert system to map relative soil vulnerability and patterns of erosion during the muddy floods of 2000,2001 on the South Downs, Sussex, UK

LAND DEGRADATION AND DEVELOPMENT, Issue 4 2010
H. Faulkner
Abstract The soils of the South Downs in East Sussex, England (UK), are dominated by loessic silt (>70 per cent) and are prone to crusting. Continuing erosion of these soils means that they are thin, typically less than 25,cm thick and are becoming stonier, more droughty and less easier to work. Rates of erosion are relatively low but during extreme events, soils are vulnerable and on- and off-site erosion is a current and long-term risk. Property damage due to muddy flooding is of particular concern. Due to a long history of research interest, a rich database exists on the erosional history of an area of approximately 75,km2 of these thin, calcareous South Downs soils. In particular, during the winter of 2000,2001, Hortonian overland flow was common on certain crop types. Consequent sheet, rill and gully erosion was intense. The gullies and rills formed by runoff during these winter events were mapped in detail. In this paper, a method to estimate soil vulnerability to erosion is described and illustrated. Then, to validate the predictive efficacy of the algorithm used, the actual mapped distribution of rills and gullies following the winter events of 2001 on a particularly badly-affected site are compared with predictions from our soil erosion vulnerability model. Methods for adjusting the land-cover weightings to optimise the map fit are outlined. In a further survey of the utility of the map, it was discovered that farmers' recollections of events provided additional verification. Thus, one implication of our research is that erosion models can be validated by inviting farmers to comment on their efficacy to predict known histories. Copyright © 2010 John Wiley & Sons, Ltd. [source]

Implicit Forward Rents as Predictors of Future Rents

REAL ESTATE ECONOMICS, Issue 2 2004
Peter Englund
This paper investigates the relation between the term structure of rents and future spot rents. A rich database of office rental agreements for various maturities is used to estimate the term structure of rents, and from this structure implicit forward rents are extracted. The data pertain to commercial properties in the three largest Swedish cities for the period 1998,2002. A positive relation between forward and spot rents is found in some regions, but forward rents underestimate future rent levels. Another contribution of the paper lies in the area of rental index construction. We provide evidence that rental indices should not only be quality constant (i.e., control for characteristics), but should also be maturity constant. [source]

The spatial sorting and matching of skills and firms

CANADIAN JOURNAL OF ECONOMICS, Issue 1 2009
Giordano Mion
Abstract In this paper we make use of a matched employer-employee database for Italy to look at the spatial distribution of wages. Using this rich database we aim to open up the black box of agglomeration economies exploiting the micro dimension of interaction among economic agents, both individuals and firms. We provide evidence that firm size and, especially, skills are sorted across space and account for a large portion of the spatial wage variation. Our data also support the assortative matching hypothesis, which we show not to be driven by co-location of good workers and firms. Finally, we point out that assortative matching is negatively related to local market size. Dans ce texte, les auteurs utilisent des données italiennes qui apparient employeurs et employés pour étudier la répartition spatiale des salaires. Ils visent à faire la lumière sur les économies d'agglomération en sondant les interactions au niveau micro entre les agents économiques , individus et entreprises. Les résultats montrent que la taille des firmes et les compétences se déploient différemment dans l'espace et que ces variations expliquent une bonne portion de la variation spatiale des salaires. Les données supportent l'hypothèse d'un arrimage des compétences avec la taille des firmes dont on montre qu'il n'est pas engendré par la co-localisation des meilleurs travailleurs et firmes. Finalement, on montre que l'arrimage est inversement co-relié avec la taille du marché local. [source]