Como se faz um tijucano? Reflexões sobre consumo, identidade e masculinidade em um bairro carioca

The love of cariocas for the city of Rio de Janeiro is widely known. As well as the cariocas, there is another social group, called tijucanos, which the love for the neighborhood is peculiar. The Tijuca zone, known by its tradition and development during the 60¿s, due to his local identity ¿ tijucana, definitely deserves prominence in the ¿wonderful city¿. The people of Tijuca can be known as a ¿personality¿ in Rio, and their habits of consumption seldom exceed the area¿s limits. Enclosure of histories and special characteristics, how to be a tijucano, an adjective that people of Tijuca are proud of, is one of the focus of this present study. To be an unconditional tijucano, who loves to walk around in the neighborhood, in the square, enjoy their lives in famous bars, ended up as a peculiarity in the carioca scenario, together with the people of Ipanema, Barra and many others, that together make Rio de Janeiro a unique city. In spite of the increasing visibility, there are few studies trying to understand the way heterosexual men interact with the world of consumer goods. In view of the great interest and in the contemporary world, the meaning of consumption has increased. The object of the present study is to try to understand how the people from Tijuca use the world of consumer goods to ¿become a man¿, i.e., to construct their male heterosexual identity. This analysis is crucial to investigate the construction of masculine gender identity of the people from Tijuca. The study was based on data gathered through deep interviews with nine men from Tijuca during the month of January 2007. The results have shown that the tijucanos interact with the neighborhood services and locals during the process of construction of gender and local identity. It was possible to notice that there are four differents stages, by means of, people use the world of consumer goods to identify themselves as men from Tijuca. Therefore, it is possible to conclude that it occurs the consumption of specific products and places in strategy to: define masculinity and local identity (when young person), move aside, assimilation, acceptation and reinforcement of that identity.

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly frequencies from 1957 to 2012, extracted from the IFS, and annual data, provided from 1900-2010 by the U.S. Geological Survey (USGS). We also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009). We investigate short- and long-run comovement by applying the techniques and the tests proposed in the common-feature literature. One of the main contributions of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree. Regarding out-of-sample forecasts, our main contribution is to show the benefits of forecast-combination techniques, which outperform individual-model forecasts - including the random-walk model. We use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates and functional forms to forecast the returns and prices of metal commodities. Using a large number of models (N large) and a large number of time periods (T large), we apply the techniques put forth by the common-feature literature on forecast combinations. Empirically, we show that models incorporating (short-run) common-cycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation.