O migrante na escola: um estudo de caso

O trabalho se propoe a retratar a realidade da criança migrante na região de destino, mais especificamente no contexto escolar. Tomando por base observações realizadas numa escola do Municipio de Nova Iguaçu, são sugeridas modificações nos curriculos plenos com vistas a um melhor atendimento ao aluno migrante, enquanto sujeito ao processo educativo formal . A criança que migra para a Baixada Fluminense, geralmente, detem um código restrito e depara-se, na escola, com outro semelhante ao seu, utilizado pelo aluno não migrante e com um código elaborado veiculado por aquela instituiçao. Embora se considere o código linguistico um obstáculo de difícil transposição, ao fim de algum tempo, o aluno migrante consegue "imitar" o dos colegas que, tal como ele, integram a população de baixa renda. Já o código difundido pela escola é de dificil absorção pelos seus alunos que nao vivenciam experiências e condutas das classes dominantes que ele procura expressar e caracterizar. No processo de ajustamento e acomodação da criança à sociedade de classes, cabe ao curriculo escolar estabelecer relações de poder e controle expressas nos principios de classificação e emolduramento. A fim de propiciar uma educação voltada para a mudança, os curriculos plenos, muito embora desempenham um papel secundário, devem ser organizados com a participação de representantes de diferentes segmentos da escola buscando preservar valores e traços culturais distintos e estruturados a partir de uma reflexão sobre a realidade.

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 horizons. The data to be used consists of metal-commodity prices in a monthly frequency from 1957 to 2012 from the International Financial Statistics of the IMF on individual metal series. We will also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009) , which are available for download. Regarding short- and long-run comovement, we will apply the techniques and the tests proposed in the common-feature literature to build parsimonious VARs, which possibly entail quasi-structural relationships between different commodity prices and/or between a given commodity price and its potential demand determinants. These parsimonious VARs will be later used as forecasting models to be combined to yield metal-commodity prices optimal forecasts. Regarding out-of-sample forecasts, we will use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates to forecast the returns and prices of metal commodities. With the forecasts of a large number of models (N large) and a large number of time periods (T large), we will apply the techniques put forth by the common-feature literature on forecast combinations. The main contribution 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 forecasting, we show that models incorporating (short-run) commoncycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation. Still, in most cases, forecast combination techniques outperform individual models.

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.

Are defaults a family affair?: the relationship between kinship and microloan performance

A partir de uma grande base de dados fornecida por uma instituição de microcrédito do nordeste brasileiro, a relação entre parentesco e inadimplência é analisada. O presente trabalho mostra evidências de que o parentesco entre membros de um grupo solidário afeta positivamente a adimplência. Grupos em que todos os membros possuíam algum laço de parentesco entre si apresentaram uma probabilidade 24% menor de inadimplência do que grupo sem esses laços. Além disso, quando considerado apenas o primeiro empréstimo, grupos com 100% de parentesco entre os membros apresentaram uma probabilidade 45% menor de inadimplência em comparação com membros sem relações de parentesco. Os resultados deste trabalho também mostram que há uma relação negativa entre parentesco e probabilidade de mudança na formação de um grupo solidário. Essas análises permitem fazer inferências acerca dos mecanismos pelos quais o parentesco afeta o desempenho do microcrédito. Os resultados sugerem que o parentesco possui um benefício maior no processo de autosseleção do grupo. Além disso, os resultados também sugerem que o impacto positivo do parentesco nas atividades de automonitoramento compensa o enfraquecimento das atividades de enforcement.

Convergence in Brazil: recent trends and long run prospects

This paper applies to the analysis of the interstate income distribution in BraziI a set of techniques that have been widely used in the current empirical literature on growth and convergence. Usual measures of dispersion in the interstate income distribution (the coefficient of variation and Theil' s index) suggest that cr-convergence was an unequivoca1 feature of the regional growth experience in BraziI, between 1970 and 1986. After 1986, the process of convergence seems, however, to have sIowed down almost to a halt. A standard growth modeI is shown to fit the regional data well and to expIain a substantial amount of the variation in growth rates, providing estimates of the speed of (conditional) J3-convergence of approximateIy 3% p.a .. Different estimates of the long run distribution implied by the recent growth trends point towards further reductions in the interstate income inequality, but also suggest that the relative per capita incomes of a significant number of states and the number of ''very poor" and "poor" states were, in 1995, already quite c10se to their steady-state values.

Earnings dynamics and inequality in Venezuela: 1995-1997

In this paper, we decompose the variance of logarithmic monthly earnings of prime age males into its permanent and transitory components, using a five-wave rotating panel from the Venezuelan “Encuesta de Hogares por Muestreo” from 1995 to 1997. As far as we know, this is the first time a variance components model is estimated for a developing country. We test several specifications and find that an error component model with individual random effects and first order serially correlated errors fits the data well. In the simplest model, around 22% of earnings variance is explained by the variance of permanent component, 77% by purely stochastic variation and the remaining 1% by serial correlation. These results contrast with studies from industrial countries where the permanent component is predominant. The permanent component is usually interpreted as the results of productivity characteristics of individuals whereas the transitory component is due to stochastic perturbations such as job and/or price instability, among others. Our findings may be due to the timing of the panel when occurred precisely during macroeconomic turmoil resulting from a severe financial crisis. The findings suggest that earnings instability is an important source of inequality in a region characterized by high inequality and macroeconomic instability.