			Home About us Contact

Significant Coefficients (significant + coefficient)

Distribution by Scientific Domains

Medical Sciences	33%
Business, Economics, Finance and Accounting	33%

Selected Abstracts

A customised birthweight centile calculator developed for an Australian population

AUSTRALIAN AND NEW ZEALAND JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Issue 2 2007
Max MONGELLI
Abstract Customised percentiles improve the differentiation between constitutional and pathological smallness of the fetus and the neonate. We studied data from 12 420 pregnancies in Sydney to develop Australian coefficients for customised fetal growth and birthweight centiles. Significant coefficients were derived for maternal height, weight, parity and ethnic origin as well as gestational age and the baby's gender. Standardised comparison with results from previous reports from England and New Zealand shows marked similarities in the predicted birthweight at term, confirming international applicability of the concept of adjusting for constitutional factors when calculating the growth potential of an individual fetus. [source]

Does the market value corporate environmental responsibility?

CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT, Issue 2 2008
An empirical examination
Abstract Although researchers have applied different theoretical perspectives to illustrate the relationship between corporate environmental responsibility and profitability, to date theories are contested and empirical findings are inconclusive. Therefore, the aim of this research was to present empirical evidence regarding the influence of engaging in environmental responsibility on corporate market value, as the first study to be applied in the Egyptian context. The findings demonstrate that the market compensates those firms that care for their environment, as environmental responsibility exerted a positive and significant coefficient on the firm market value measured by Tobin's q ratio. This aligns stakeholder theory as well as resource-based theory arguments, and provides supporting evidence for those studies that have concluded that it pays to be environmentally responsive. Copyright © 2007 John Wiley & Sons, Ltd and ERP Environment. [source]

Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain

HYDROLOGICAL PROCESSES, Issue 8 2005
Antonio Ceballos
Abstract The objective of this study was to validate the soil moisture data derived from coarse-resolution active microwave data (50 km) from the ERS scatterometer. The retrieval technique is based on a change detection method coupled with a data-based modelling approach to account for seasonal vegetation dynamics. The technique is able to derive information about the soil moisture content corresponding to the degree of saturation of the topmost soil layer (,5 cm). To estimate profile soil moisture contents down to 100 cm depth from the scatterometer data, a simple two-layer water balance model is used, which generates a red noise-like soil moisture spectrum. The retrieval technique had been successfully applied in the Ukraine in a previous study. In this paper, the performance of the model in a semi-arid Mediterranean environment characterized by low annual precipitation (400 mm), hot dry summers and sandy soils is investigated. To this end, field measurements from the REMEDHUS soil moisture station network in the semi-arid parts of the Duero Basin (Spain) were used. The results reveal a significant coefficient of determination (R2 = 0·75) for the averaged 0,100 cm soil moisture profile and a root mean square error (RMSE) of 2·2 vol%. The spatial arrangement of the REMEDHUS soil moisture stations also allowed us to study the influence of the small-scale variability of soil moisture within the ERS scatterometer footprint. The results show that the small-scale variability in the study area is modest and can be explained in terms of texture fraction distribution in the soil profiles. Copyright © 2004 John Wiley & Sons, Ltd. [source]

Health state values for the HUI 2 descriptive system: results from a UK survey

HEALTH ECONOMICS, Issue 3 2005
Christopher McCabe
Abstract This paper reports the results of a study to estimate a statistical health state valuation model for a revised version of the Health Utilities Index Mark 2, using Standard Gamble health state preference data. A sample of 51 health states were valued by a sample of the 198 members of the UK general population. Models are estimated for predicting health state valuations for all 8000 states defined by the revised HUI2. The recommended model produces logical and significant coefficients for all levels of all dimensions in the HUI2. These coefficients appear to be robust across model specifications. This model performs well in predicting the observed health state values within the valuation sample and for a separate validation sample of health states. However, there are concerns over large prediction errors for two health states in the valuation sample. These problems must be balanced against concerns over the validity of using the VAS based health state valuation data of the original HUI2 valuation model. Copyright © 2004 John Wiley & Sons, Ltd. [source]

The Short, and Long,run Performance of New Listings in Tunisia

INTERNATIONAL REVIEW OF FINANCE, Issue 4 2001
Samy Ben Naceur
This study examines abnormal stock market returns of new listings on the Tunisian Stock Exchange. Substantial positive abnormal returns are found on the first listing day and this finding is similar to that obtained in other countries. Subsequent performance is poor and investors who bought shares at the close of trading on the first day would have lost about 22% against the Tunis Stock Exchange index over a three,year period. The possible causes of this are investigated. Among the factors found in the literature that possibly affect the level of long,term performance, only the state of the IPO market, the initial return, the delay in reaching the ,first market price' and the size of the firms have significant coefficients. This result is supportive of the traditional fad's interpretation of long,term underperformance. [source]

Unobserved Heterogeneity in Models of Competing Mortgage Termination Risks

REAL ESTATE ECONOMICS, Issue 2 2006
John M. Clapp
This article extends unobserved heterogeneity to the multinomial logit (MNL) model framework in the context of mortgages terminated by refinance, move or default. It tests for the importance of unobserved heterogeneity when borrower characteristics such as income, age and credit score are included to capture lender-observed heterogeneity. It does this by comparing the proportional hazard model to MNL with and without mass-point estimates of unobserved heterogeneous groups of borrowers. The mass-point mixed hazard (MMH) model yields larger and more significant coefficients for several important variables in the move model, whereas the MNL model without unobserved heterogeneity performs well with the refinance estimates. The MMH clearly dominates the alternative models in sample and out of sample. However, it is sometimes difficult to obtain convergence for the models estimated jointly with mass points. [source]