scholarly journals A Monte Carlo comparison of estimators for a bivariate probit model with selection

2008 ◽  
Vol 78 (2-3) ◽  
pp. 250-256 ◽  
Author(s):  
R. Belkar ◽  
D.G. Fiebig
Keyword(s):  
Monte Carlo ◽  
Probit Model ◽  
Bivariate Probit ◽  
Bivariate Probit Model

scholarly journals On the calculation of marginal effects in the bivariate probit model

1997 ◽  
Vol 54 (3) ◽  
pp. 203-208 ◽  
Author(s):  
Louis N. Christofides ◽  
Thanasis Stengos ◽  
Robert Swidinsky
Keyword(s):  
Probit Model ◽  
Bivariate Probit ◽  
Bivariate Probit Model ◽  
Marginal Effects

scholarly journals Analysis of Factors Affecting Alcohol and Tobacco Use by Bivariate Probit Model in Turkey

2020 ◽  
Author(s):  
Ömer Alkan ◽  
Hayri Abar ◽  
Özge Gençer
Keyword(s):  
Tobacco Use ◽  
Probit Model ◽  
Bivariate Probit ◽  
Factors Affecting ◽  
Bivariate Probit Model

Abstract The authors have withdrawn this preprint due to erroneous posting.

scholarly journals An Analysis of Quit and Dismissal Determinants between 1988 and 1999 using the Bivariate Probit Model

2005 ◽  
Vol 25 (1) ◽  
pp. 3 ◽  
Author(s):  
Veronica I. F. Orellano ◽  
Paulo Picchetti
Keyword(s):  
Labor Market ◽  
Unemployment Rate ◽  
Probit Model ◽  
Employment Relationship ◽  
Labor Turnover ◽  
Bivariate Probit ◽  
Bivariate Probit Model ◽  
Industrial Sectors ◽  
Formal Employment ◽  
The Individual

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 consider- ations. The present paper proposes an econometric analysis of turnover in the Brazilian labor market, based on a partial observability bivariate probit model. This model consid- ers 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 prob- abilities 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 param- eters 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 probabil- ity 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.

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