Endogenous wage compression and aggregation boundaries in a model of hierarchical human capital

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An analysis of quit and dismissal determinants between 1988 and 1999 using the bivariate probit model

Excessive labor turnover may be considered, to a great extent, an undesirable feature of a given economy. This follows from considerations such as underinvestment in human capital by firms. Understanding the determinants and the evolution of turnover in a particular labor market is therefore of paramount importance, including policy considerations. The present paper proposes an econometric analysis of turnover in the Brazilian labor market, based on a partial observability bivariate probit model. This model considers the interdependence of decisions taken by workers and firms, helping to elucidate the causes that lead each of them to end an employment relationship. The Employment and Unemployment Survey (PED) conducted by the State System of Data Analysis (SEADE) and by the Inter-Union Department of Statistics and Socioeconomic Studies (DIEESE) provides data at the individual worker level, allowing for the estimation of the joint probabilities of decisions to quit or stay on the job on the worker’s side, and to maintain or fire the employee on the firm’s side, during a given time period. The estimated parameters relate these estimated probabilities to the characteristics of workers, job contracts, and to the potential macroeconomic determinants in different time periods. The results confirm the theoretical prediction that the probability of termination of an employment relationship tends to be smaller as the worker acquires specific skills. The results also show that the establishment of a formal employment relationship reduces the probability of a quit decision by the worker, and also the firm’s firing decision in non-industrial sectors. With regard to the evolution of quit probability over time, the results show that an increase in the unemployment rate inhibits quitting, although this tends to wane as the unemployment rate rises.

The impact of AIDS on income and human capital

This paper studies the impact of HIV/AIDS on per capita income and education. It explores two channels from HIV/AIDS to income that have not been sufficiently stressed by the literature: the reduction of the incentives to study due to shorter expected longevity and the reduction of productivity of experienced workers. In the model individuals live for three periods, may get infected in the second period and with some probability die of Aids before reaching the third period of their life. Parents care for the welfare of the future generations so that they will maximize lifetime utility of their dynasty. The simulations predict that the most affected countries in Sub-Saharan Africa will be in the future, on average, thirty percent poorer than they would be without AIDS. Schooling will decline in some cases by forty percent. These figures are dramatically reduced with widespread medical treatment, as it increases the survival probability and productivity of infected individuals.

Career concerns: a human capital perspective

We introduce human capital accumulation, in the form of learning by doing, in a life cycle model of career concerns and analyze how human capital acquisition a ects implicit incentives for performance. We show that standard results from the career concerns literature can be reversed in the presence of human capital accumulation. Namely, implicit incentives need not decrease over time and may decrease with the degree of uncertainty about an individual's talent. Furthermore, increasing the pre-cision of output measurement can weaken rather than strengthen implicit incentives. Overall, our results contribute to shed new light on the ability of markets to discipline moral hazard in the absence of explicit contracts linking pay to performance.

Open innovation and the challenges of human resource management

This paper considers challenges of Human Resource Management (HRM) in Open Innovation processes. It examines which strategies managers used to overcome these problems in the case of the Brazilian Oil and Gas company Petrobras. By conducting an inductive case study it develops a contextual model based on the use of grounded theory. It argues that the most important categories were to overcome problems of (a) the interpersonal relationship, (b) power shifting inside the organization, and (c) making people more valuable to the organization and shows how managers tackled these challenges. It contributes with a deep analysis of HRM challenges in Open Innovation that is important for a better understanding of management problems that can come along with Open Innovation processes.

KittyCat: a cognitive model of structure-form discovery

Cognition is a core subject to understand how humans think and behave. In that sense, it is clear that Cognition is a great ally to Management, as the later deals with people and is very interested in how they behave, think, and make decisions. However, even though Cognition shows great promise as a field, there are still many topics to be explored and learned in this fairly new area. Kemp & Tenembaum (2008) tried to a model graph-structure problem in which, given a dataset, the best underlying structure and form would emerge from said dataset by using bayesian probabilistic inferences. This work is very interesting because it addresses a key cognition problem: learning. According to the authors, analogous insights and discoveries, understanding the relationships of elements and how they are organized, play a very important part in cognitive development. That is, this are very basic phenomena that allow learning. Human beings minds do not function as computer that uses bayesian probabilistic inferences. People seem to think differently. Thus, we present a cognitively inspired method, KittyCat, based on FARG computer models (like Copycat and Numbo), to solve the proposed problem of discovery the underlying structural-form of a dataset.

Human resource policies in public education: empirical evidences for Brazil

Esta tese traz três exercícios empíricos sobre questões de recursos humanos em escolas públicas brasileiras, aproveitando-se de uma ampla política implantada na rede estadual de São Paulo. Esta política aumenta os salários para os professores que trabalham em escolas urbanas pobres e sua regra de alocação, baseada em um corte arbitrário em um índice socioeconômico, permite a identificação de impactos causais. Em resumo, os três artigos apontam que políticas de subsídios são capazes de, de fato, manter professores nas escolas mais pobres e este efeito, por sua vez, melhora o desempenho acadêmico dos alunos. Além disso, concluímos também que esta política também reduz o absenteísmo dos professores. No entanto, como consequência do desenho dessa política, não há evidências de que o subsídio melhora o perfil dos professores alocados nessas escolas. O primeiro artigo avalia os impactos dessa política sobre a rotatividade dos professores. Concluímos que a compensação salarial reduziu a taxa de rotatividade em 7,2 pontos percentuais, o que significa uma queda de 15% sobre a média pré-tratamento. Em um modelo em forma reduzida, encontramos também evidências de que esta política pode impactar positivamente o desempenho dos alunos. O segundo artigo analisa os impactos sobre a aprendizagem dos alunos, com foco em três possíveis mecanismos: i) a rotatividade; ii) a qualidade dos professores; iii) o aumento do salário. As estimativas mostram que o único canal através do qual esta política compensatória afeta o desempenho dos alunos é a redução da rotatividade dos professores. Ao reduzir taxa de volume de negócios em um desvio-padrão, a política reduziu a proporção de alunos de baixo desempenho em cerca de meio desvio-padrão. O terceiro artigo avalia como a diferenciação salarial criada por esta política afeta absenteísmo dos professores. Os resultados mostram que, após controlar efeitos fixos de professores e escolas, pagar um salário mais elevado (em média 26% a mais) provoca uma queda de 8-22% nas faltas dos professores. Ausências que não levam a desconto de salário, como por licenças médicas, não respondem à diferenciação salarial e o impacto é maior para os professores que recebem maior incentivo.