Postnatal depression in Southern Brazil: prevalence and its demographic and socioeconomic determinants

<p>Abstract</p> <p>Background</p> <p>Studies investigating the prevalence of postnatal depression (PND) show rates ranging from 5% to 36.7%. The investigation of age, race, educational levels, religion and income as risk factors for PND has yielded conflicting results. The aim of this study is to investigate the prevalence of PND in women residing in Southern Brazil and the associated risk factors.</p> <p>Methods</p> <p>This is population-based cross-sectional study of women residing in Porto Alegre who delivered in June 2001. A sample of 271 participants were selected from the Record of Living Newborn Infants of the State Health Department (the official Brazilian database and stores the name and address of all women who give birth to living newborn infants) using a process based on pseudo-random numbers which choose a random sample from 2.000 records. Once the addresses were identified, the women were visited at their place of residence (home, hotel, boarding house and prison), with the interviews taking place between the 6^thand the 8^thweek after delivery.</p> <p>The association between the risk factors and PND was investigated through bivariate analysis using Pearson's chi-square test. Student's t-test was used to analyze the continuous variables. To identify independent risk factors, multivariate analysis was performed using hierarchical levels with a predefined model that took into account the time relationship between PND and the risk factors. Cox's regression was used to calculate the prevalence ratios.</p> <p>Results</p> <p>The PND prevalence rate found was 20.7% (CI 95% 15.7 – 25.7). After adjusting for confounding variables, per capita income was found to have a significant association with PND.</p> <p>Conclusion</p> <p>The prevalence of PND is higher than the figures found in most developed countries and similar to the figures found in developing countries. Differences in PND by regions or countries can be partially explained by the effect of income on the mediation of risk factors. In low income populations, women should be routinely evaluated for postnatal depression, and those with no partner or spouse are likely to require further care from health services and should be given the benefit of mental health prevention programs.</p

The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data

Using only aggregate data as observables, we estimate multisector sticky-price models for twelve countries, allowing the degree of price stickiness to vary across sectors. We use a specification that allows us to extract information about the underlying cross-sectional distribution from aggregate data. Identification is possible because sectors play different roles in determining the response of aggregate variables to shocks at different frequencies: sectors where prices are more sticky are relatively more important in determining the low-frequency response. We find that the inferred distributions of price stickiness conform quite well with empirical distributions constructed from the available microeconomic evidence on price setting. We then explore our Bayesian approach to combine the aggregate time-series data with the microeconomic information on the distributions of price rigidity, and re-estimate the models for the United States, Denmark, and Japan. Our results show that allowing for this type of heterogeneity is critically important to understanding the joint dynamics of output and prices, and it constitutes a step toward reconciling the extent of nominal price rigidity implied by aggregate data with the evidence from price micro data

Estimating the New Keynesian Phillips Curve for Italian Manufacturing Sectors

The purpose of this paper is to test the general validity of the NKPC previsions for the Italian manufacturing industries. In particular we are interested in estimating the extent to which the degree of nominal inertia and the fraction of backward-looking price-setters differ from industry to industry. We attempt to address this issue by testing three different model specifications: a pure forward-looking model versus a hybrid model where an income labour share marginal cost measure is considered, and a modified hybrid model specification where marginal costs are corrected to include intermediate inputs. Our results show that the backward-looking component is statistically significant and quantitatively large for all industries. Moreover, this estimate does not depend on the models specification. Conversely, the parameter measuring the extent of price rigidity is sensitive to the definition of firms cost. Interpreting the overall results, we conclude that price-setting behaviour is not totally homogeneous among Italian firms