Need-based financing policies, college decision-making, and labor market behavior: Evidence from Jamaica

2021 ◽  
Vol 150 ◽  
pp. 102617
Author(s):  
Nicholas A. Wright
Author(s):  
Irina O. Shevchenko ◽  

The article considers the position of men and women researchers in the labor market in the precarization context. It is revealed that from the viewpoint of formal signs of the work precarity, researchers are in a safe situation. Most of them work under an indefinite contract, having a set of social guarantees secured by the Labor Code, and rarely change jobs. But the social well-being of scientists indicates that the formal description of the situation is at odds with reality. Gender context of science is the following: there are fewer women than men among researchers; there are more men among those holding the academic degrees of doctors, so men occupy positions more preferable in terms of status than women; the average salary of male scientists is higher than the female; men have more opportunities to influence decision-making in their organization. Gender asymmetry in the scientific field persists in Russia.


2019 ◽  
Author(s):  
Daniel Garrett ◽  
Eric Ohrn ◽  
Juan Carlos Suárez Serrato

2019 ◽  
Vol 33 (2) ◽  
pp. 31-50 ◽  
Author(s):  
Ajay Agrawal ◽  
Joshua S. Gans ◽  
Avi Goldfarb

Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when the automation of prediction leads to automating decisions versus enhancing decision-making by humans.


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