Taxas de matrícula e gastos em educação no Brasil

Neste trabalho avaliamos, sob a Ûtica macroeconÙmica, o custo do atraso educacional brasileiro. Utilizamos uma vers„o do modelo de crescimento neocl·ssico com formulaÁ„o minceriana para o capital humano no qual, para uma parametrizaÁ„o apropriada, simulamos o impacto sobre os agregados macroeconÙmicos de um perÖl factÌvel de gasto em educaÁ„o com gastos sistematicamente maiores a partir de 1933. Gastos mais elevados permitiriam matrÌculas adicionais no ensino p˙blico e a maior escolaridade da populaÁ„o aumentaria a produtividade do trabalho, impactando sobre os agregados macro. Dessa forma, esta abordagem requer o valor de gastos por aluno, de modo que reproduzimos aqui o n˙mero anual de matrÌculas iniciais nos trÍs nÌveis de ensino (prim·rio, secund·rio e terci·rio), a taxa de matrÌcula bruta para cada um desses nÌveis de 1933 a 2005 e uma sugest„o de c·lculo de uma sÈrie histÛrica de gastos em educaÁ„o para o referido perÌodo. Seguindo esta abordagem, o PIB em 2004, por exemplo, poderia ser sido atÈ 27% maior do que o observado. Uma outra quest„o que buscamos responder nesse trabalho È o impacto sobre os agregados macroenÙmicos da universalizaÁ„o dos ensinos prim·rio e secund·rio j· nos anos 50 e 60. Embora tal polÌtica pudesse ter levado a um produto 26% maior em 2004, esta requeriria investimentos substanciais em educaÁ„o, algo superior a 10% do PIB de 1958 a 1962, por exemplo.

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.