Bivariate Probit Analysis of the Differences Between Male and Female Formal Employment in Urban China

2013 ◽  
pp. 65-76
Author(s):  
Guifu Chen ◽  
Shigeyuki Hamori
Keyword(s):  
Probit Analysis ◽  
Urban China ◽  
Bivariate Probit ◽  
Male And Female ◽  
Formal Employment

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.

Monitoring Permethrin Resistance in Soybean Looper (Lepidoptera: Noctuidae) Adults

1993 ◽  
Vol 28 (1) ◽  
pp. 43-50
Author(s):  
J. S. Mink ◽  
D. J. Boethel ◽  
B. R. Leonard
Keyword(s):  
Growing Season ◽  
Probit Analysis ◽  
Same Sex ◽  
Male And Female ◽  
Glass Vial ◽  
Monitoring Technique ◽  
Analysis Of Results ◽  
Soybean Looper ◽  
Lepidoptera Noctuidae ◽  
Over Time

A glass vial monitoring technique was developed to test for permethrin resistance in soybean looper, Pseudoplusia includens (Walker), adults. Male and female moths from laboratory permethrin-resistant and-susceptible soybean looper strains were exposed to permethrin residues in glass vials to estimate concentration-mortality lines. Probit analysis of results indicated that male and female LC50 values were not significantly different within each strain. The resistant male and female moths were 13.4 and 12.2-fold more tolerant of permethrin, respectively, when compared to the same sex from the susceptible strain. A discriminating concentration of 2.5 μg permethrin per vial was identified for detection of permethrin resistance in soybean looper adults. Male soybean looper moths were captured during the 1991 growing season at three locations in Louisiana using wire cone traps baited with pheromone. Results of discriminating concentration tests on these moths indicated that all strains were resistant to permethrin, but frequencies of resistance varied within locations over time.

The role of striking and struck vehicles in side crashes between vehicles: Bayesian bivariate probit analysis in China

2020 ◽  
Vol 134 ◽  
pp. 105324 ◽  
Author(s):  
Quan Yuan ◽  
Xuecai Xu ◽  
Mingchang Xu ◽  
Junwei Zhao ◽  
Yibing Li
Keyword(s):  
Probit Analysis ◽  
Bivariate Probit

Recursive Bivariate Probit Analysis of Injury Severity and Non-Truck Improper Actions in Large Truck-Related Crashes on Florida Suburban Roads

2021 ◽  
pp. 036119812199714
Author(s):  
Zhenyu Wang ◽  
Abhijit Vasili ◽  
Runan Yang ◽  
Pei-Sung Lin
Keyword(s):  
Injury Severity ◽  
Probit Model ◽  
Probit Analysis ◽  
Truck Driver ◽  
Bivariate Probit ◽  
Contributing Factors ◽  
Recursive Bivariate Probit ◽  
Annual Average Daily Traffic ◽  
Study Results ◽  
Two Factors

This study investigated the hierarchical connection among injury severity, non-truck improper actions, and contributing factors in large-truck-involved crashes. Data for 4 years (2011–2014) of crashes that involved a large truck (≥ 10,000 lb) and a non-truck vehicle were collected from suburban roads in Florida, U.S. A recursive bivariate probit model was fitted with collected data to identify the cause-effect chain, including contributing factors influenced by improper actions, the effects of improper actions on injury severity, and contributing factors indirectly affecting injury severity in large-truck-related crashes. Study results indicate that non-truck vehicle improper actions, such as excessive speed, careless driving, failure to yield right-of-way, and others, significantly increase the likelihood of fatal and severe injury in large-truck crashes, and factors such as crash month, darkness, intersection-related, surface and shoulder width, truck parking, truck driver age, non-truck driver age, and non-truck alcohol/drug impaired indirectly influence injury severity through their impacts on non-truck improper actions. Two factors—truck right-turn and non-truck driver physical defects—affect injury severity and non-truck improper actions simultaneously. Other factors, including crash year, annual average daily traffic, speed limit, crash type, truck type, truck speed, truck alcohol/drug-impaired, and motorcycle involvement, directly contribute to injury severity in large-truck crashes and have no influence on non-truck improper actions.

scholarly journals In vitro anti-tick properties of the essential oil of Tagetes minuta L. (Asteraceae) on Hyalomma rufipes (Acari: Ixodidae)

2012 ◽  
Vol 79 (1) ◽  
Author(s):  
Felix Nchu ◽  
Solomon R. Magano ◽  
Jacobus N. Eloff
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Essential Oil ◽  
Probit Analysis ◽  
Male And Female ◽  
Potential Source ◽  
Tagetes Minuta ◽  
Hyalomma Rufipes

In this study we examined the anti-tick properties of the essential oil of Tagetes minuta L. (Asteraceae: Asterales) against Hyalomma rufipes ticks. We obtained the essential oil of T. minuta by hydro-distillation of a combination of fresh flowers, leaves and soft stems, and analysed these by using gas chromatography (GC) and gas chromatography-linked mass spectrometry (GC-MS). The oil had a high percentage of monoterpenes and the major compounds identified were cis-ocimene (28.5%), beta-ocimene (16.83%) and 3-methyl-2-(2-methyl-2-butenyl)-furan (11.94%). Hyalomma rufipes adults displayed a significant (P < 0.05) dose repellent response to the essential oil of T. minuta. Probit analysis indicated a repellent EC50 of T. minuta essential oil for male ticks to be 0.072 mL/mL (CI 0.053 mL/mL to 0.086 mL/mL) and 0.070 mL/mL (CI 0.052 mL/mL to 0.084 mL/mL) for female ticks. There were no significant differences in repellent responses between male and female ticks. The oil also significantly (P < 0.05) delayed moulting of 60% of H. rufipes engorged nymphs. These results suggest that T. minuta may be a potential source of anti-tick agents.

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