Sexual Function in Women with Deep Endometriosis: Correlation with Quality of Life,Intensity of Pain,Depression, Anxiety,and Body Image

Objectives: We evaluated sexual function, quality of life and perceived body image of women with deep endometriosis in comparison to that of healthy women. Methods: The sample consisted of 41 women with deep endometriosis and 40 healthy women without endometriosis. Sexual, psychological and pain evaluation were performed. Results: The study evidenced that deep endometriosis has a significant impact on sexuality and body image. Conclusions: An integrated and patient-centered approach to medical and psychological and sexual issues is suggested.     

A DIRECT TEST OF THE BUFFER‐STOCK MODEL OF SAVING

Recent models with liquidity constraints and impatience emphasize that consumers use savings to buffer income fluctuations. When wealth is below anoptimal target, consumers try to increase their buffer stock of wealth by saving more. When it is above target, they increase consumption. This important implication of the buffer stock model of saving has not been subject to direct empirical testing. We derive from the model an appropriate theoretical restriction and test it using data on working‐age individuals drawn from the 2002 and 2004 Italian Surveys of Household Income and Wealth. One of the most appealing features of the survey is that it has data on the amount of wealth held for precautionary purposes, which we interpret as target wealth in a buffer stock model. The test results do not support buffer stock behavior, even among population groups that are more likely, a priori, to display such behavior. The saving behavior of young households is instead consistent with models in which impatience, relative to prudence, is not as high as in buffer stock models. (JEL: D91)     

On the usefulness of government spending in the EU area

This paper investigates the effects of government spending on private consumption and investment in the European Union (EU). A certain consensus has been reached on the expansionary Keynesian effects of fiscal impulses on the economic activity. However, the existing empirical literature has concentrated on few countries, mostly outside the EU. We check the validity of this result for the EU area using annual data and a panel vector auto-regression approach, with particular attention being paid to robustness across alternative identification assumptions based on Cholesky orderings. Our results show that shocks to public spending positively affect private consumption and investment. According to our baseline estimate, a 1% increase in public current expenditure produces a 0.24% impact rise in private consumption, and a 0.41% impact rise in private investment. The effects are substantial, and die out slowly in the case of private consumption (the cumulative impact amounts to +0.56% after 3 years), but much faster in the case of private investment. A further disaggregation between wage and non-wage components reveals that public salaries have a relatively stronger stimulating role. This is not due to the different weights on GDP of the two components, which have comparable values in our sample.     

ANOTHER STEP IN THE STUDY OF RACE RELATIONS

Recent qualitative researchers have argued the need for a more sensitizing approach to race research that elevates in importance the concerns and interests of those under study. This article illustrates how Herbert Blumer's work on race relations, critical race theory, and participatory action research may help this objective. These projects' similar epistemologies advance a type of social imagery that has powerful emancipatory implications in regard to racial oppression. Simply put, dominant renditions of social reality–including structural imperatives and racial identities–are illustrated to be socially constructed and hence open to negotiation. As a result of this shift, sensitizing methodologies (e.g., storytelling and collaboration) are employed that allow minorities an opportunity for self-representation. The liberating potential of all these projects can be further enhanced by relating their conceptual links to recent developments in contemporary social theory. Specifically, the typical concerns with process, interaction, and experiential meanings are intersubjectively mediated and not reducible to an objective subjective theoretical framework. Rather than simply personal or external, all knowledge is recognized to be fluid and coproduced. By grounding research on this intersubjective region, equitable exchanges are possible.     

Spatial hidden Markov models and species distributions

A spatial hidden Markov model (SHMM) is introduced to analyse the distribution of a species on an atlas, taking into account that false observations and false non-detections of the species can occur during the survey, blurring the true map of presence and absence of the species. The reconstruction of the true map is tackled as the restoration of a degraded pixel image, where the true map is an autologistic model, hidden behind the observed map, whose normalizing constant is efficiently computed by simulating an auxiliary map. The distribution of the species is explained under the Bayesian paradigm and Markov chain Monte Carlo (MCMC) algorithms are developed. We are interested in the spatial distribution of the bird species Greywing Francolin in the south of Africa. Many climatic and land-use explanatory variables are also available: they are included in the SHMM and a subset of them is selected by the mutation operators within the MCMC algorithm.     

FDR- and FWE-controlling methods using data-driven weights

Weighted methods are an important feature of multiplicity control methods. The weights must usually be chosen a priori, on the basis of experimental hypotheses. Under some conditions, however, they can be chosen making use of information from the data (therefore a posteriori) while maintaining multiplicity control. In this paper we provide: (1) a review of weighted methods for familywise type I error rate (FWE) (both parametric and nonparametric) and false discovery rate (FDR) control; (2) a review of data-driven weighted methods for FWE control; (3) a new proposal for weighted FDR control (data-driven weights) under independence among variables; (4) under any type of dependence; (5) a simulation study that assesses the performance of procedure of point 4 under various conditions.     

Statistical matching and uncertainty analysis in combining household income and expenditure data

Among the goals of statistical matching, a very important one is the estimation of the joint distribution of variables not jointly observed in a sample survey but separately available from independent sample surveys. The absence of joint information on the variables of interest leads to uncertainty about the data generating model since the available sample information is unable to discriminate among a set of plausible joint distributions. In the present paper a short review of the concept of uncertainty in statistical matching under logical constraints, as well as how to measure uncertainty for continuous variables is presented. The notion of matching error is related to an appropriate measure of uncertainty and a criterion of selecting matching variables by choosing the variables minimizing such an uncertainty measure is introduced. Finally, a method to choose a plausible joint distribution for the variables of interest via iterative proportional fitting algorithm is described. The proposed methodology is then applied to household income and expenditure data when extra sample information regarding the average propensity to consume is available. This leads to a reconstructed complete dataset where each record includes measures on income and expenditure.