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This study assesses the association between different absenteeism-related factors and the
economic costs related to it in a Belgian hospital from 2014 to 2016. During this time 1,692
unique employees worked in this hospital who cost the employer in total 2,071,000.75 euro
in terms of direct absenteeism costs. After reviewing the literature about the determinants
of absenteeism and the costs and gains related to it, a descriptive analysis is done to show
general tendencies and correlations between the variables. It follows an econometric analysis in which multivariate regression models are used to detect the association between
the variables. The direct absenteeism costs are regressed on the following factors: gender,
age, health status, statute, past absenteeism behavior, seniority, weather conditions, number of legal holidays and the number of influenza incidences in Belgium. Several regression
methods are used which give different results

absenteeism --- costs --- hospital --- health --- prevention --- absences --- Sciences économiques & de gestion > Domaines particuliers de l'économie (santé, travail, transport...)

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This study aimed to determine how excess mortality rates due to the Covid-19 pandemic have changed in high- and middle-income countries. It is examined that the partial relationship between the excess mortality rate and its economical and political factors. Several variables are controlled when the economical and political factors are observed. The sample occurs with the annual excess mortality rates in 99 countries (63 high-income and 36 middle-income economies) between April 2020 and April 2021. The period began when the mainland officially announced an all-cause mortality rate of 10. Two different models are examined with the Weighted Least Squares (WLS) Estimation Method. As a result, it is found that the interest variable, GDP per capita PPP, has a significant effect on the dependent variable, excess mortality rate p - score. While mobility trends for grocery and pharmacy stores, Government Stringency Index, Hospital beds rate, Population age ratio (+65 age), and Young age dependency ratio are statistically significant in one of the Models, they are insignificant in the other Model. On the other hand, there is no significant effect of the urban population, income support, and mobility trends for retail and recreation areas on the excess mortality rate. Geographical location, as continental dummies, is significant only with reference continents, Asia, and North America.

Covid-19 --- Excess mortality --- GDP per capita --- Sciences économiques & de gestion > Domaines particuliers de l'économie (santé, travail, transport...)