scholarly journals Understanding Women's Wage Growth using Indirect Inference with Importance Sampling

2021 ◽  
Author(s):  
Robert M. Sauer ◽  
Christopher Taber
Keyword(s):  
Importance Sampling ◽  
Wage Growth ◽  
Indirect Inference

Real-time Visual Tracking of Multiple Targets Using Bootstrap Importance Sampling

2012 ◽  
Vol 38 (10) ◽  
pp. 1663
Author(s):  
Le-Jun SHEN ◽  
Zhi-Sheng YOU ◽  
Xiao-Feng LI
Keyword(s):  
Real Time ◽  
Importance Sampling ◽  
Visual Tracking ◽  
Multiple Targets

France

2018 ◽  
Author(s):  
Philippe Askenazy ◽  
Bruno Palier
Keyword(s):  
Income Inequality ◽  
Labour Market ◽  
Rapid Growth ◽  
Household Income ◽  
General Trend ◽  
Age Groups ◽  
Wage Growth ◽  
The Elderly ◽  
Wage Setting ◽  
Rich Countries

This chapter describes France as apparently one of the few rich countries to have avoided a significant increase in income inequality in recent decades. However, stable average inequalities mask an asymmetric trend of income between age groups, the elderly improving their situation while the young see theirs worsening. Furthermore, it shows that behind this relatively still surface, a general trend of precarization of more and more ordinary workers is occurring. The importance of wage-setting processes and of regulation of the labour market is brought out, together with the way the tax and transfer systems have operated, in restraining the forces driving inequality upwards. Wage growth, while limited, has thus been reasonably uniform across the distribution and together with the redistributive system have kept household income inequality within bounds. However, in response to high unemployment both regulatory and tax–transfer systems have served to underpin the very rapid growth in precarious working over the last decade, representing a very serious challenge for policy.

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