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.

On the statistical estimation of diffusion processes - a partial survey

Data available on continuous-time diffusions are always sampled discretely in time. In most cases, the likelihood function of the observations is not directly computable. This survey covers a sample of the statistical methods that have been developed to solve this problem. We concentrate on some recent contributions to the literature based on three di§erent approaches to the problem: an improvement of the Euler-Maruyama discretization scheme, the employment of Martingale Estimating Functions, and the application of Generalized Method of Moments (GMM).

Partial economic reforrns and financial crises: an emerging markets perspective

The recent emerging market experiences have posed a challenge to the conventional wisdom that unsustainable fiscal deficits are the key to understanding financial crises in these countries. The health of the domestic banking system has emerged as the main driving force behind the perverse dynamics of partial reforms. The current paper shares this view and uses a model of contractual inefliciencies in the banking sector to understand the dynamics of these reforms. We find that the threat of a large exchange rate devaluation depends on the stock of international reserves relative to the stock of domestic credit that must be extended by the Central Bank in response to a large capital outflow. Moreover, if a country has a weak banking sector but high net reserve ratios, the capital flow reversal might only increase the vulnerability to a currency crisis without necessarily causing it. The results are in accordance with much of the empiricalliterature on the determinants of financiaI crises in emerging markets. Some aspectsof the recent policy debate on the introduction of capital controls are also analysed.