• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.45-65
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• 2016

Global competition and unstable economic situation in recent years have brought in adverse working conditions such as proliferation of temporary or part-time workers and new shift system. In this study we use exploratory data analysis method to find the relationship between some of the important variables which are related to working hours in KWCS (Korean Working Conditions Survey) and EWCS (European Working Conditions Survey). Next, working hours are explored in terms of sex, employment type, occupation and industry using 2006, 2010, 2011, 2014 KWCS data as well as 2010 EWCS data. Lastly, respondents are divided into two groups of healthy and nonhealthy workers and their working hours are explored in terms of the same categories as above. Finally, simple regression analysis is used to find the effect of health on weekly working hours and adjustment of the effect of health on weekly working hours is made using multiple regression analysis with some other independent variable such as sex, age and employment type included in the model.