The inequality curse: constraints and political discretion

We live in an unjust world characterized by economic inequality. No liberal theory of justice is able to justify it. Inequality is not “solved” with equality of opportunity or meritocracy. Nor by the socialist and republican critique. The poor will have to count with them and with democracy to make social progress reality. In their political struggle, they will face one economic constraint: the expected profit rate must remain attractive to business investors. Yet, giving that technological progress in increasingly capital-saving, this economic constraint does not obstruct that wages grow above the productivity rate and inequality is reduced. What really is an obstacle to social justice in the rich countries is, on one hand, the power that capitalist rentiers retain and financists acquired, and, on the other, the competition originated in low wage countries.

Is enterprise value affected by political nominations for a regulatory agency's presidency?

Economists have argued that regulation is the appropriate approach to maintain output in its economically efficient level in a natural monopoly, and that can be achieved by submitting these companies to regulatory agencies’ decisions. The autonomous agencies are, however, not free in an absolute sense, and it is important to ask what the priorities of the new administration are. One answer is that it is designed to give leeway and powers of discretion to unbiased professionals with expertise in their field. In practice, however, professional experts might often be politically motivated. The objective of this study is to investigate whether political nominations to the presidency of regulatory agencies, rather than technical appointments, affect the level of regulatory risk. In order to achieve this purpose, an event study was performed, where the regulatory risk in a political nomination will be compared to a technical nomination, in terms of abnormal return.

Technical change and factor shares

The implications of technical change that directly alters factor shares are examined. Such change can lower the income of some factors of production even when it raises total output, thus offering a possible explanation for episodes of social conflict such as the Luddite uprisings in 19th century England and the recent divergence in the U. S. between wages for skilled and unskilled labor. An explanation also why underdeveloped countries do not adopt the latest technology but continue to use outmoded production methods. Total factor productivity is shown to be a misleading measure of technical progress. Share-altering technical change brings into question the plausibility of a wide class of endogenous growth models.

Factors affecting the technical efficiency of production of the Brazilian banking system : a comparison of four statistical models in the context of data envelopment analysis

This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.

O ensino à distância como ferramenta para a implementação do sistema único da assistência social no Brasil

Os desafios da política de Assistência Social do Brasil ainda são imensos. Objetivando a garantia dos mínimos sociais, a partir da Constituição de 1988 e da implantação do Sistema Único de Assistência Social (SUAS), a gestão de Recursos Humanos passa a ser considerada como eixo estruturante, inclusive no que diz respeito à formação e capacitação de profissionais da Assistência Social que, que no exercício da sua discricionariedade, são seus efetivos implementadores. Neste contexto, este trabalho se propõe a investigar modalidade de Ensino à Distância (EAD) como ferramenta impulsionadora do SUAS, oferecendo aos órgãos gestores envolvidos, elementos que contribuam com a avaliação, decisão e incorporação da EAD nas suas estratégias de educação dos atores socioassistenciais.