Sickness Absence: An International Comparison

Previous attempts to analyse international differences in patterns of worker absenteeism have not been convincing because of the difficulty in obtaining internationally comparable data. In this paper, we apply the technique described by Barmby, Ercolani and Treble(1999) to data on full-time workers in 9 countries who have deposited Labour Force Survey returns with the Luxembourg Employment Study. We use the resulting dataset to verify relationships between absence and age, gender and other socio-economic characteristics of workers. These relationships prove to be similar across countries with widely differing mean rates of absence. Since our dataset uses individual observations we are also able to carry out a multivariate analysis of absence and its correlates. The most revealing result of the analysis is that the gender difference in absence rates that is apparent in the raw data is shown to be entirely due to differences in the age structures of the male and female workforce and their marital status.

Inflation Tax and the Hidden Economy

Differential tax analysis is used to show how the optimal mix of inflation tax and direct taxation changes with the relative size of the hidden economy. The larger the relative size of the hidden economy, the smaller the optimal ratio of direct tax to inflation tax. Anecdotal empirical evidence supports this result

Watching the watchmen::a statistical analysis of mark consistency across taught modules

AbstractVerifying that taught modules are marked and taught to a common standard is important but doing so by comparing mean module marks is inadequate when students’ ability is not uniform across these modules. For example, a module taken by a group of students of above average ability may justifiably result in a high mean mark, without implying that inconsistent standards have been applied. We propose a modified version of the fixed effects regression that provides direct estimates of module mark biases while conditioning for student composition and requiring no additional, potentially confidential, information on students or staff. We describe how this modified fixed effects regression can be implemented on a set of student marks and how the results can be interpreted. Increases in student numbers and tuition fees have increased the preoccupation with, and monitoring of, marks. We show how one can generate statistics that are more informative of the biases in marking, while being explicit about their limitations

Benchmark analysis of forecasted seasonal temperature over different climatic areas

From a long-term perspective, an improvement of seasonal forecasting, which is often exclusively based on climatology, could provide a new capability for the management of energy resources in a time scale of just a few months. This paper regards a benchmark analysis in relation to long-term temperature forecasts over Italy in the year 2010, comparing the eni-kassandra meteo forecast (e-kmf ® ) model, the Climate Forecast System–National Centers for Environmental Prediction (CFS-NCEP) model, and the climatological reference (based on 25-year data) with observations. Statistical indexes are used to understand the reliability of the prediction of 2-m monthly air temperatures with a perspective of 12 weeks ahead. The results show how the best performance is achieved by the e-kmf ® system which improves the reliability for long-term forecasts compared to climatology and the CFS-NCEP model. By using the reliable highperformance forecast system, it is possible to optimize the natural gas portfolio and management operations, thereby obtaining a competitive advantage in the European energy market

A procedure for designing natural water retention measures in new development areas under hydraulic-hydrologic invariance constraints

In recent years, in Italy and elsewhere, regional regulations based on hydraulic-hydrologic invariance (HHI) principles have taken hold, especially for new development areas. Natural water retention measures (NWRMs) are among the most interesting options to provide the storage and infiltration capacities that are needed to achieve the HHI objectives. A procedure for the design of NWRMs in new development areas under HHI constraints is presented and is based on a simple combination of Soil Conservation Service Curve Number (SCS-CN) method for determining rainfall excess and lag-time method for simulating runoff propagation. Three types of NWRMs can be considered: rain barrels, drainage wells and drainage trenches; five types of synthetic hyetographs can be selected and three different approaches for the determination of critical storm duration applied. The results obtained by applying the procedure in a new development area located in northern Italy are illustrated and some general conclusions are drawn. It clearly emerges that practitioners should pay particular attention to the correct determination of design storm duration in order to avoid large underestimations of NWRMs size. Moreover, different combinations of the three NWRMs can provide the required reduction of peak of runoff after the transformation, but it appears that drainage trenches are more effective with respect to harvesting systems in reducing the peak runoff value

Validity of Italian adaptation of the Dizziness Handicap Inventory (DHI) and evaluation of the quality of life in patients with acute dizziness

The impact of dizziness on Quality of Life (QoL) can be assessed by the Dizziness Handicap Inventory (DHI), which is used as a discriminative and evaluative tool. Although the DHI is available in several languages, an equivalent version for the Italian population is not yet available. Aim of this study was to translate the DHI into the Italian language (DHI-I), assess its correlation to the Italian version of the Short Form-36 Health Survey and to investigate its reliability in evaluating the QoL of patients with acute dizziness. The study population consisted of 50 patients (76% females and 24% males), mean age 51.6 years, range 25-85 years (SD = 14.5). A cross-sectional design was used to examine the internal consistency (Cronbach’s α) and concurrent validity (Pearson’s product moment correlation r). The application followed the stages of translation from English to Italian and linguistic adaptation, grammatical and idiomatic equivalence review. To confirm the external validity of DHI-I, the Pearson correlation test between the total score and single subscales of DHI-I and the 8 scales of the Short Form Health Survey (SF-36) was performed. The Cronbach α coefficients for internal consistency were 0.92 for the DHI-I and 0.82, 0.84 and 0.75 for the sub-scale functional, emotional and physical, respectively. The frequency distribution of no one item showed a percentage higher than 75% in a single possible answer (0, 2, 4), excluding a ceiling or floor effect. Correlations with the total score of DHI-I were consistent and the correlation between total score of DHI-I and total score on SF-36 was -0.593. Of the single subscales, the emotional scale showed a closer correlation with almost all scales of the SF-36. The correlation between the total score of SF-36 and the single sub-scale of DHI-I (functional, emotional, physical) were respectively -0.599, -0.563, -0.398. The DHI was culturally and linguistically adapted for its application in the Italian population. The DHI-I demonstrated a good reliability and is recommended as a measure of disability in patients with dizziness and unsteadiness. According to the DHI-I, patients with acute dizziness and with a clinical diagnosis of vestibular syndrome presented a decreased QoL; the physical aspects were the most compromised

Thermo-programmed synthetic DNA-based receptors

Herein, we present a generalizable and versatile strategy to engineer synthetic DNA ligand-binding devices that can be programmed to load and release a specific ligand at a defined temperature. We do so by re-engineering two model DNA-based receptors: a triplex-forming bivalent DNA-based receptor that recognizes a specific DNA sequence and an ATP-binding aptamer. The temperature at which these receptors load/release their ligands can be finely modulated by controlling the entropy associated with the linker connecting the two ligand-binding domains. The availability of a set of receptors with tunable and reversible temperature dependence allows achieving complex load/release behavior such as sustained ligand release over a wide temperature range. Similar programmable thermo-responsive synthetic ligand-binding devices can be of utility in applications such as drug delivery and production of smart materials