Redirigiendo al acceso original de articulo en 15 segundos...
ARTÍCULO
TITULO

Models for Estimating Human Capital Losses Due to Traffic-Related Deaths

Galina Karpova    
Gul?zhan Julmukhamedova    

Resumen

The article provides new approaches to estimating the losses caused b traffic-related deaths with the income-based method of measuring the human capital. We developed an economical and mathematical model for measuring the human capital which was lost in traffic accidents during a reporting period. The model is based on estimation of human capital according to the yield curve with regard to age and level of education. The article describes the benefits of the proposed method which bridges a gap between estimating the production losses as losses of the state and social losses caused by road traffic deaths. The calculation results show higher loss estimates - a price which is to be paid by the country for road fatalities of its citizens - than what is stated by the official reports based on existing techniques.

 Artículos similares

       
 
Thomas Parr, Karl Friston and Peter Zeidman    
Bayesian inference typically focuses upon two issues. The first is estimating the parameters of some model from data, and the second is quantifying the evidence for alternative hypotheses?formulated as alternative models. This paper focuses upon a third ... ver más
Revista: Algorithms

 
Ziran Zhang and Maosheng Zhang    
Describing the hydraulic conductivity of unsaturated soil is very important in predicting water transport. Most current models have complex forms and generally need to be calibrated by the measured unsaturated hydraulic conductivity curve. A simple model... ver más
Revista: Applied Sciences

 
Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di    
In the context of automatic charging for electric vehicles, collision localization for the end-effector of robots not only serves as a crucial visual complement but also provides essential foundations for subsequent response design. In this scenario, dat... ver más
Revista: Applied Sciences

 
Christopher Jun Qian Teh, Micheal Drieberg, Khairul Nisak Md Hasan, Abdul Latif Shah and Rizwan Ahmad    
The use of photovoltaic (PV) panels in interior spaces is expected to increase due to the proliferation of low-power sensor devices in the IoT domain. PV models are critical for estimating the I?V curves that define their performance at various light int... ver más
Revista: Applied Sciences

 
Beata Baziak, Marek Bodziony and Robert Szczepanek    
Machine learning models facilitate the search for non-linear relationships when modeling hydrological processes, but they are equally effective for automation at the data preparation stage. The tasks for which automation was analyzed consisted of estimat... ver más
Revista: Hydrology