Social vulnerability indexes as planning tools: beyond the preparedness paradigm

This article draws from the experience of the ongoing drafting of the Regional Plan of the Centre Region of Portugal, and the empirical application of the Social Vulnerability Index proposed by Susan Cutter. It consists in the construction of an index of social vulnerability to natural and technological hazards and to social risks for all the municipalities of the region. Methodologically, it extends the vulnerability analysis to technological hazards and social risks, as a more encompassing view is necessary for the elaboration of prevention and civil protection policies. The results confirm the interactive nature of social vulnerability, and they also reflect the diffuse urbanisation and industrialisation patterns that characterise Portugal. The scattered nature of social facilities and security and health infrastructures pose specific challenges to planners concerning risk prevention and mitigation, and the elaboration of effective risk communication strategies adapted to specific hazards and risks in the studied municipalities. The article concludes with some reflections on the need to revise established paradigms of disaster analysis and emphasise the importance of pre‐event planning and the social cartography of vulnerable populations for effective prevention and security policies that take into account social inequalities and citizenship rights.     

Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon,Portugal

Social Vulnerability Index (SoVI) was applied to Greater Lisbon (Portugal). Based on the concepts used for the SoVI assessments in the US, 46 variables representing social vulnerability of the 149 civil parishes of Greater Lisbon were chosen. Thirty-eight variables were selected after application of correlation tests. They were standardized, and a Principal Component Analysis and a Varimax rotation were applied to them. Seven factors were extracted using the Kaiser criterion, which explain 79.5% of the variance, and the SoVI scores were then mapped using a standard deviation classification. Twelve of the 149 civil parishes of Greater Lisbon have a very high social vulnerability and 24 of them have a high social vulnerability. The map of SoVI was then integrated with susceptibility maps of earthquakes, floods, flash floods, landslides, tsunami, and coastal erosion, thus delineating risk zones. Twenty-two civil parishes of Greater Lisbon have a very high risk; among them, 17 belong to Lisbon Municipality, four belong to Loures Municipality, and one belongs to Vila Franca de Xira Municipality. Finally, exposed population was considered and combined with risk zones map in order to assess the number of people being potentially exposed to risk and their location.     

Implementing the International Public Sector Accounting Standards for consolidated financial statements: facilitators,benefits and challenges

ABSTRACT

Portugal and Spain have reformed their national standards to adapt them to the International Public Sector Accounting Standards (IPSAS). This paper explains the process of implementing the IPSAS for consolidated reporting in the two countries and the advantages and disadvantages which have emerged. The results highlight the role of the IPSAS in improving the quality and use of consolidated financial statements (CFS) and will be of interest to other countries that are intending to implement the IPSAS.     

Two-Sided Bounds for Ruin Probabilities when the Adjustment Coefficient does not Exist

In this paper, we derive two-sided bounds for the ruin probability in the compound Poisson risk model when the adjustment coefficient of the individual claim size distribution does not exist. These bounds also apply directly to the tails of compound geometric distributions. The upper bound is tighter than that of Dickson (1994). The corresponding lower bound, which holds under the same conditions, is tighter than that of De Vylder and Goovaerts (1984). Even when the adjustment coefficient exists, the upper bound is, in some cases, tighter than Lundberg's bound. These bounds are applicable for any positive distribution function with a finite mean. Examples are given and numerical comparisons with asymptotic formulae for the ruin probability are also considered.     

An application of two-stage quantile regression to insurance ratemaking

Two-part models based on generalized linear models are widely used in insurance rate-making for predicting the expected loss. This paper explores an alternative method based on quantile regression which provides more information about the loss distribution and can be also used for insurance underwriting. Quantile regression allows estimating the aggregate claim cost quantiles of a policy given a number of covariates. To do so, a first stage is required, which involves fitting a logistic regression to estimate, for every policy, the probability of submitting at least one claim. The proposed methodology is illustrated using a portfolio of car insurance policies. This application shows that the results of the quantile regression are highly dependent on the claim probability estimates. The paper also examines an application of quantile regression to premium safety loading calculation, the so-called Quantile Premium Principle (QPP). We propose a premium calculation based on quantile regression which inherits the good properties of the quantiles. Using the same insurance portfolio data-set, we find that the QPP captures the riskiness of the policies better than the expected value premium principle.     

The insolvent subsidiary and liability of the parent corporation in the USA,Argentina, and UNCITRAL

The increasing unacceptability of the concept of entity law and the emergence of the doctrine of enterprise law with respect to many aspects of the legal relationships of parent and subsidiary corporations particularly in insolvent situations is a very interesting issue. This change is very significant because it reflects a growing unwillingness on the part of the courts and legislatures to continue accepting the traditional view of corporate law when it no longer corresponds to the economic reality of the modern business enterprise in a complex industrialized international society. This paper examines the American case law and in particular the decisions that have imposed liability where a company is liable for the obligations of an insolvent subsidiary and by contrast the decisions that have denied liability. The paper also examines the position in Argentina within the Argentine law and the UNCITRAL recommendations in respect of liability issues within corporate groups in insolvency. Copyright © 2010 John Wiley & Sons, Ltd.     

Measuring price discovery: The variance ratio, the R, and the weighted price contribution

We analyze the statistical properties of three price discovery measures: The variance ratio, the weighted price contribution (WPC), and the R² of unbiasedness regressions. We find that, if the price process is a driftless martingale, only the WPC is an unbiased estimator for the return variance explained during a time interval. For autocorrelated processes with a drift, only the R² of the unbiasedness regression is consistent, but it is biased for small samples.     

Gender Differences in Recruitment Outcomes

The paper tests the hypothesis that female applicants have a lower probability of being hired from a pool of applicants than their male counterparts. The results indicate that male and female candidates have about the same probability of being hired independently of the type of vacancy. The probability of hiring a candidate of a certain sex is therefore determined by the gender composition of the pool of applicants who have selected themselves on the basis of job characteristics, hiring standards and the type of sector. This indicates that male and female job-seekers select themselves in such a way that they have equal probabilities of being accepted.