Discriminação salarial por cor e gênero revisitada: uma abordagem de decomposição contrafactual utilizando regressões quantílicas

A desigualdade salarial, especialmente a resultante da discriminação contra negros e mulheres no mercado de trabalho, é um componente importante da elevada concentração de renda da economia brasileira. Ao contrário da grande maioria dos trabalhos já desenvolvidos nesta área, este trabalho não adota a hipótese de que os efeitos de atributos determinantes do salário são constantes e idênticos para os indivíduos ao longo da distribuição de renda. São estimadas as estruturas salariais para cada percentil da distribuição salarial para homens brancos, homens negros, mulheres brancas e mulheres negras utilizando a técnica de decomposição contrafactual por regressões quantílicas, proposta por Koenker e Bassett (1978) e desenvolvida por Machado e Mata (2004). Isto proporciona uma compreensão mais detalhada e abrangente dos fatores que determinam a remuneração do trabalho para diferentes níveis de renda e fornece uma medida mais completa do grau de discriminação contra os negros e mulheres no mercado de trabalho ao longo da distribuição salarial. Para os três grupos, a discriminação é crescente em relação à posição na distribuição salarial, indicando a dificuldade de se atingir posições melhor remuneradas no mercado de trabalho por parte de mulheres e negros. A discriminação afeta principalmente as mulheres negras, seguidas das mulheres brancas e dos homens negros. Para os homens negros, a discriminação é baixa entre os mais pobres e cresce nos níveis mais altos da distribuição. As mulheres brancas sofrem ao longo de toda a distribuição com maior efeito entre os 15% mais ricos. As mulheres negras sofrem com a discriminação por cor e gênero, estando assim na pior situação entre os grupos. A remuneração da educação estimada para os quatro grupos indica ganhos crescentes conforme a posição na distribuição salarial ampliando a desigualdade salarial intra-grupo, adicionalmente, observa-se uma desvalorização da educação dos negros de ambos os sexos na determinação salarial e que as mulheres sofrem algum tipo de discriminação no que diz respeito à educação apenas nos níveis salariais mais elevados. Os ganhos salariais obtidos com a equalização da escolaridade e formalização entre os grupos discriminados e os homens brancos indicam que, no caso da educação, homens e mulheres negros teriam ganhos ao longo de toda a distribuição, com ênfase entre os mais ricos. Para a formalização, a população nos decis inferiores da distribuição salarial seria a principal beneficiada.

Uma análise da volatilidade do PIB brasileiro

O presente trabalho analisa o comportamento da volatilidade do crescimento do produto brasileiro entre 1980 e 2008, cuja trajetória apresenta um declínio de 70% desde 1991. Através da análise do comportamento do PIB, de seus componentes e de seus determinantes, objetiva-se apontar as razões pela qual a volatilidade do crescimento caiu de forma significativa no período considerado. A baixa volatilidade do crescimento do produto traz conseqüências positivas para o bem-estar da sociedade, para a distribuição de renda e para o crescimento econômico de longo prazo. Diferentes estudos foram realizados para apontar as causas do declínio desta volatilidade em diversos países nas últimas três décadas, fenômeno que nos Estados Unidos passou a ser conhecido como The Great Moderation. Dados os benefícios deste processo, entender as suas razões é imprescindível para a formulação de políticas econômicas que garantam a sustentabilidade da moderação dos ciclos econômicos. Este trabalho concentra-se nos fatores nominais (choques de demanda) para explicar o processo de redução da volatilidade do crescimento brasileiro. De um lado, a ausência de restrições externas ao crescimento econômico e o ciclo de prosperidade mundial dos últimos cinco anos garantiram a contribuição da parcela externa. Por outro lado, a condução de políticas macroeconômicas mais sólidas, refletindo em uma maior estabilidade de variáveis como o nível de preços, respondem pelos fatores internos.

Equity and Efficiency in Education: motivations and targets

The recently released "Educational PAC" attempts to place basic education at the center of the social debate. We have subsidized this debate, offering a diagnosis of how different education levels can impact individuals' lives through broad and easily interpreted indicators. Initially, we analyze how much each educational level reaches the poorest population. For example, how are those in the bottom strata of income distribution benefited by childcare centers, private secondary education, public university or adult education. The next step is to quantify the return of educational actions, such as their effects on employability and an individual's wages, and even health as perceived by the individual, be that individual poor, middle class or elite. The next part of the research presents evidence of how the main characters in education, aka mothers, fathers and children, regard education. The site available with the research presents a broad, user-friendly database, which will allow interested parties to answer their own questions relative to why people do not attend school, the time spent in the educational system and returns to education, which can all be cross-sectioned with a wide array of socio-demographic attributes (gender, income, etc.) and school characteristics (is it public, are school meals offered, etc.) to find answers to: why do young adults of a certain age not attend school? Why do they miss classes? How long is the school day? Aside from the whys and hows of teaching, the research calculates the amount of time spent in school, resulting from a combination between absence rates, evasion raters and length of the school day. The study presents ranks of indicators referring to objective and subjective aspects of education, such as the discussion of the advantages and care in establishing performance based incentives that aim at guiding the states in the race for better educational indicators.

Assets, markets and poverty in Brazil

Esse artigo estabelece uma base para pesquisas que tratam da relação entre pobreza, distribuição de recursos e operação do mercado de capitais no Brasil. O principal objetivo é auxiliar a implementação de políticas de reforço de capital dos pobres. A disponibilidade de novas fontes de dados abriu condições inéditas para implementar uma análise de posse de ativos e pobreza nas áreas metropolitanas brasileiras. A avaliação de distribuição de recursos foi estruturada sobre três itens: Capital físico, capital humano e capital social. A estratégia empírica seguida é de analisar três diferentes tipos de impactos que o aumento dos ativos dos pobres podem exercer no nível de bem estar social. A primeira parte do artigo avalia a posse de diferentes tipos de capitais através da distribuição de renda. Esse exercício pode ser encarado como uma ampliação de medidas de pobreza baseadas em renda pela incorporação de efeitos diretos exercidos pela posse de ativos no bem estar social. A segunda parte do artigo descreve o impacto de geração de renda que a posse de ativos pode ter sobre os pobres. Estudamos como a acumulação de diferentes tipos de capital impactam os índices de pobreza baseados na renda usando regressões logísticas. A terceira parte estuda o efeito que o aumento da posse de ativos dos pobres tem no melhoramento da habilidade dos indivíduos pobres em lidar com choques adversos da renda. Estudamos a interação entre a dinâmica da renda, imperfeições do mercado de capitais e comportamentos financeiros levando em consideração diferentes horizontes de tempo. As questões de longo prazo estão relacionadas com o estudo das flutuações de renda de baixa freqüência e ciclo da vida da posse de ativos usando análise de coorte. As questões de curto prazo estão relacionadas com o comportamento do pobre e as perdas de bem estar ao lidar com hiatos de alta freqüência entre renda e consumo desejado. A análise da dinâmica de renda e pobreza é conduzida a partir da combinação de dados de painel de renda com dados qualitativos sobre comportamento financeiro de curto prazo das famílias.

Why economics should be a modest and reasonable science

Unlike the methodological sciences such as mathematics and decision theory, which use the hypothetical-deductive method and may be fully expressed in complex mathematical models because their only truth criterion is logical consistency, the substantive sciences have as their truth criterion the correspondence to reality, adopt an empirical-deductive method, and are supposed to generalize from and often unreliable regularities and tendencies. Given this assumption, it is very difficult for economists to predict economic behavior, particularly major financial crises.

A study of the impacts of quantitative easing on the macroeconomics variables

Neste trabalho, propusemos um modelo DSGE que busca responder algumas questões sobre políticas de afrouxamento monetário (Quantitative Easing - QE) recentemente implementadas em resposta à crise de 2008. Desenvolvemos um modelo DSGE com agentes heterogêneos e preferred-habitat nas compras de títulos do governo. Nosso modelo permite o estudo da otimalidade da compra de portfolio (em termos de duration dos títulos) para os bancos centrais quando estão implementando a política. Além disso, a estrutura heterogênea nos permite olhar para distribuição de renda provocada pelas compras de títulos. Nossos resultados preliminares evidenciam o efeito distributivo do QE. No entanto, nosso modelo expandido apresentou alguns problemas de estabilidade.

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.

A importância da saúde como um dos determinantes da distribuição de rendimentos da população adulta no Brasil

One of the main socioeconomic problems observed in most developing countries is the high income inequality. In Brazil, such issue is particularly relevant, since it possesses one of the worst income distributions in the world. This paper aims at studying the impact of health status on income distribution in Brazil. The methodology is a counterfactual analysis. The database used is that of PNAD 2003. The major contribution of the present study is to detect the impact of health status on income distribution in Brazil. This effect is more significant among the elderly than the others age groups.

On impatience, education, returns, and inequality

In this paper we investiga te the impact of initial wealth anel impatience heterogeneities, as wcll as differential access to financia! markets on povcrty anel inequality, anel cvaluate some mechanisms that could be used to alleviate situations in which these two issues are alarming. To address our qucstion we develop a dynamic stochastic general cquilibrium modo! of educational anel savings choicc with heterogeneous agents, where individuais differ in their initial wealth anel in their discount factor. We find that, in the long run, more patient households tend to be wealthier anel more educated. However, our baseline model is not able to give as much skewness to our income distribution as it is rcquircd. We then propose a novel returns structure based on empírica! observation of heterogeneous returns to different portfolios. This modification solves our previous problem, evidencing the importance of the changes made in explaining the existing levels of inequality. Finally, we introducc two kinds of cash transfers programs- one in which receiving thc benefit is conditional on educating the household's youngster (CCTS) anel one frec of conditionalities (CTS) - in order to evaluate the impact of these programs on the variables of concern1 Wc fine! that both policies have similar qualitativo rcsults. Quantitatively, howcvcr, the CCTS outperforms its unconclitional version in all fielcls analyzecl, revealing itself to be a preferable policy.

Homogeneous middles vs. heterogeneous tails, and the end of the ‘Inverted-U’: the share of the rich is what it’s all about

This paper examines the current global scene of distributional disparities within-nations. There are six main conclusions. First, about 80 per cent of the world’s population now live in regions whose median country has a Gini not far from 40. Second, as outliers are now only located among middle-income and rich countries, the ‘upwards’ side of the ‘Inverted-U’ between inequality and income per capita has evaporated (and with it the statistical support there was for the hypothesis that posits that, for whatever reason, ‘things have to get worse before they can get better’). Third, among middle-income countries Latin America and mineral-rich Southern Africa are uniquely unequal, while Eastern Europe follows a distributional path similar to the Nordic countries. Fourth, among rich countries there is a large (and growing) distributional diversity. Fifth, within a global trend of rising inequality, there are two opposite forces at work. One is ‘centrifugal’, and leads to an increased diversity in the shares appropriated by the top 10 and bottom 40 per cent. The other is ‘centripetal’, and leads to a growing uniformity in the income-share appropriated by deciles 5 to 9. Therefore, half of the world’s population (the middle and upper-middle classes) have acquired strong ‘property rights’ over half of their respective national incomes; the other half, however, is increasingly up for grabs between the very rich and the poor. And sixth, Globalisation is thus creating a distributional scenario in which what really matters is the income-share of the rich — because the rest ‘follows’ (middle classes able to defend their shares, and workers with ever more precarious jobs in ever more ‘flexible’ labour markets). Therefore, anybody attempting to understand the within-nations disparity of inequality should always be reminded of this basic distributional fact following the example of Clinton’s campaign strategist: by sticking a note on their notice-boards saying “It’s the share of the rich, stupid”.

The revenge of the market on the rentiers why neo-liberal reports of the end of history turned out to be premature

Starting from the perspective of heterodox Keynesian-Minskyian-Kindlebergian financial economics, this paper begins by highlighting a number of mechanisms that contributed to the current financial crisis. These include excess liquidity, income polarisation, conflicts between financial and productive capital, lack of intelligent regulation, asymmetric information, principal-agent dilemmas and bounded rationalities. However, the paper then proceeds to argue that perhaps more than ever the ‘macroeconomics’ that led to this crisis only makes analytical sense if examined within the framework of the political settlements and distributional outcomes in which it had operated. Taking the perspective of critical social theories the paper concludes that, ultimately, the current financial crisis is the outcome of something much more systemic, namely an attempt to use neo-liberalism (or, in US terms, neo-conservatism) as a new technology of power to help transform capitalism into a rentiers’ delight. And in particular, into a system without much ‘compulsion’ on big business; i.e., one that imposes only minimal pressures on big agents to engage in competitive struggles in the real economy (while inflicting exactly the opposite fate on workers and small firms). A key component in the effectiveness of this new technology of power was its ability to transform the state into a major facilitator of the ever-increasing rent-seeking practices of oligopolistic capital. The architects of this experiment include some capitalist groups (in particular rentiers from the financial sector as well as capitalists from the ‘mature’ and most polluting industries of the preceding techno-economic paradigm), some political groups, as well as intellectual networks with their allies – including most economists and the ‘new’ left. Although rentiers did succeed in their attempt to get rid of practically all fetters on their greed, in the end the crisis materialised when ‘markets’ took their inevitable revenge on the rentiers by calling their (blatant) bluff.

Why has productivity growth stagnated in most Latin American countries since the neo-liberal reforms?

Latin America’s economic performance since the beginning of neo-liberal reforms has been poor; this not only contrasts with its own performance pre-1980, but also with what has happened in Asia since 1980. I shall argue that the weakness of the region’s new paradigm is rooted as much in its intrinsic flaws as in the particular way it has been implemented. Latin America’s economic reforms were undertaken primarily as a result of the perceived economic weaknesses of the region — i.e., there was an attitude of ‘throwing in the towel’ vis-à-vis the previous state-led import substituting industrialisation strategy, because most politicians and economists interpreted the 1982 debt crisis as conclusive evidence that it had led the region into a cul-de-sac. As Hirschman has argued, policymaking has a strong component of ‘path-dependency’; as a result, people often stick with policies after they have achieved their aims, and those policies have become counterproductive. This leads to such frustration and disappointment with existing policies and institutions that is not uncommon to experience a ‘rebound effect’. An extreme example of this phenomenon is post-1982 Latin America, where the core of the discourse of the economic reforms that followed ended up simply emphasising the need to reverse as many aspects of the previous development (and political) strategies as possible. This helps to explain the peculiar set of priorities, the rigidity and the messianic attitude with which the reforms were implemented in Latin America, as well as their poor outcome. Something very different happened in Asia, where economic reforms were often intended (rightly or wrongly) as a more targeted and pragmatic mechanism to overcome specific economic and financial constraints. Instead of implementing reforms as a mechanism to reverse existing industrialisation strategies, in Asia they were put into practice in order to continue and strengthen ambitious processes of industrialisation.

Combinação social e construção de equipes: um estudo sobre os fatores relevantes para o processo de composição de equipes na educação executiva brasileira

A composição de equipes é um tema recorrente em diferentes áreas do conhecimento. O interesse pela definição das etapas e variáveis relevantes desse processo, considerado complexo, é manifestado por pesquisadores, profissionais e desenvolvedores de Sistemas de Informação (SI). Todavia, enquanto linhas teóricas, oriundas dos estudos organizacionais, buscam a consolidação de modelos matemáticos que reflitam a relação entre variáveis de composição de equipes e o seu desempenho, teorias emergentes, como a de Combinação Social, acrescentam novos elementos à discussão. Adicionalmente, variáveis específicas de cada contexto, que no caso dessa pesquisa é a educação executiva brasileira, também são mencionadas como tendo relevância para estruturação de grupos. Dado o interesse e a variedade de vertentes teóricas que abordam esse fenômeno, essa pesquisa foi proposta para descrever como ocorre a construção de equipes docentes e identificar as variáveis consideradas relevantes neste processo. Um modelo teórico inicial foi desenvolvido e aplicado. Dada a característica da questão de pesquisa, foi utilizada uma abordagem metodológica exploratório-descritiva, baseada em estudos de casos múltiplos, realizados em quatro instituições de ensino superior brasileiras, que oferecem cursos de educação executiva. A coleta e a análise de dados foi norteada pelos métodos propostos por Huberman e Miles (1983) e Yin (2010), compreendendo a utilização de um protocolo de estudo de caso, bem como o uso de tabelas e quadros, padronizados à luz do modelo teórico inicial. Os resultados desse trabalho indicam, majoritariamente, que: as teorias de Combinação Social e as teorias de Educação adicionam elementos que são relevantes ao entendimento do processo de composição de equipes; há variáveis não estruturadas que deixam de ser consideradas em documentos utilizados na avaliação e seleção de profissionais para equipes docentes; e há variáveis de composição que só são consideradas após o fim do primeiro ciclo de atividades das equipes. Com base nos achados empíricos, a aplicação do modelo teórico foi ajustada e apresentada. As contribuições adicionais, as reflexões, as limitações e as propostas de estudos futuros são apresentadas no capítulo de conclusões.

Integrated valorization of Anona Cherimola Mill. seeds

Agricultural and agro-industrial residues are often considered both an environmental and an economical problem. Therefore, a paradigm shift is needed, assuming residues as biorefinery feedstocks. In this work cherimoya (Annona cherimola Mill.) seeds, which are lipid-rich (ca. 30%) and have a significant lignocellulosic fraction, were used as an example of a residue without any current valorization. Firstly, the lipid fraction was obtained by solvent extraction. Extraction yield varied from 13% to 28%, according to the extraction method and time, and solvent purity. This oil was converted into biodiesel (by base-catalyzed transesterification), yielding 76 g FAME/100 g oil. The obtained biodiesel is likely to be incorporated in the commercial chain, according to the EN14214 standard. The remaining lignocellulosic fraction was subjected to two alternative fractionation processes for the selective recovery of hemicellulose, aiming different products. Empirical mathematical models were developed for both processes, aiming future scale-up. Autohydrolysis rendered essentially oligosaccharides (10 gL-1) with properties indicating potential food/feed/pharmacological applications. The remaining solid was enzymatically saccharified, reaching a saccharification yield of 83%. The hydrolyzate obtained by dilute acid hydrolysis contained mostly monosaccharides, mainly xylose (26 gL-1), glucose (10 gL-1) and arabinose (3 gL-1), and had low content of microbial growth inhibitors. This hydrolyzate has proven to be appropriate to be used as culture media for exopolisaccharide production, using bacteria or microbial consortia. The maximum conversion of monosaccharides into xanthan gum was 0.87 g/g and kefiran maximum productivity was 0.07 g.(Lh)-1. This work shows the technical feasibility of using cherimoya seeds, and materials as such, as potential feedstocks, opening new perspectives for upgrading them in the biorefinery framework.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model