• Korean Journal of Social Welfare
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• v.39
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• pp.5-40
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• 1999

Little is known about unemployment duration and re-employment pattern. This paper empirically examines unemployment duration and re-employment pattern using data by the 1998 national survey about the unemployed and their needs. A parametric survival model(Weibull model) is adopted to identify variables predicting unemployment duration. It is found that the data including people without unemployment insurance as well as people with unemployment insurance fit the Weibull model including the hazard distribution that the hazard of reemployment is increasing at an decreasing rate. Variables that affect unemployment duration are age, householdership, family income, size of prior employment organization, and cause of unemployment. In re-employment pattern, statistically significant variables are age, type of prior employment industry, prior employment pattern, and membership in unemployment insurance. This paper provides a basic knowledge about realities of unemployed individuals in the economic crisis period of Korea, identifies research areas for further research, and develops policy implications for the unemployed.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.183-183
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• 2017

• Korean Journal of Social Welfare Studies
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• v.40 no.2
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• pp.253-283
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• 2009

This study examined empirically the effect mechanism of labor market structure on access to social insurance. Data were derived from the second wave of Korea Welfare Panel Study in 2007 with a sub-sample of 3,790 of wage workers. Path analysis and structural equation model were used to analyze the effect mechanism. Findings confirmed the inequality of labor market by revealing high causal relationships among occupations and jobs, size of the firm, employment forms, and income. The results suggest that access to social insurance depends on the structural interaction of labor market rather than on the individual worker's trait. Small enterprises and non-standard employment were indicated as the main element explaining the unequal access to social insurance. Finally this study identified women's experience of intensive inequalities in the labor market status and access to social insurance.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.184-197
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• 2021

Prior to the establishment of 'Employment-Related Big Data Center (tentative name)' to support the development of customized employment services. This Paper examines the current status and limitation of employment-related data in korea. Then, the implications were derived through foreign employment-related big data construction cases. Through the above analysis, I proposed measures to build and utilize employment-related big data at the individual level, focusing on the Transitional Labour Markets theory that emphasizes the implementation of individual labor force states. Finally, we presented future challenges such as massive maintenance of employment-related DB, increased representation of big data to be built around employment insurance DB, and increased reliability of DB presented.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.114-128
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• 2014

This study is the analysis on the labor migration between 16 provinces in experienced employees' sector by using the employment insurance statistics of 2008 to 2011. In wage workers of Korea, all of regular and some of temporary employees subscribe to the employment insurance and among these, about 40-50% career workers have moved their jobs every year. Targeting these, first I perform cluster analysis to explore the spatial boundaries of intra and inter-regional labor migration, and second measure the regional linkages extracting the inter-regional migrants. As results, the clusters of labor migration are similar to 5+2 Mega-regional Economic Zones. However, in the regional linkages between clusters, Seoul-metropolitan area has a great influence to other regions in inflow and outflow.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.393-399
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• 2013

The purposes of this study were to seek beauty industry parts' current social insurance admission status. To achieve the purposes, questionnaire was distributed to a total of 470 beauty artists and data were analyzed by statistical analysis. The result of study proposed that hairdresser showed the highest awareness and field of nail art showed the lowest awareness in social insurance admission status. Social insurance admission status shows that beauty artists in hair field had the most applicants of national pension, health insurance, workers' compensation insurance and beauty artists of skin field had the highest desire for social insurance application. This study hopes to be used as base line data of social insurance applicants' accurate status and application.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.38-47
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• 2020

Purposes: The problem in the recent immigration policy and social policy changes for foreigners is that the preliminary analysis or research on the actual impact of the influx of foreigners has not been done enough in Korea yet.. This study is to examine the impact of the Korean health insurance finances on the influx of foreigners. Approach: This study analyzed the health insurance statistics for foreigners and overseas Koreans of the Health Insurance Corporation from 2013 to 2017. The data is the "Status of Health Insurance Premiums for Nationals, Foreigners, and Overseas Koreans from 2013 to 2017" submitted by the National Health Insurance Service to the Health and Welfare Committee during the 2018 National Audit Period. Findings: To summarize the analysis, first, the proportion of foreigners was only 1% of all subscribers (1.7% at work, 1.9% in regions) until 2017. Second, employees at work have a lower pay-to-pay ratio, and local subscribers have a higher pay-to-pay rate, regardless of nationality. Third, as immigrants are mostly concentrated in younger ages, they are healthy and use of hospitals is relatively low. Fourth, in terms of gender distribution, there are many women of childbearing age due to marriage immigration among foreign local subscribers, and more men use hospitals than workers who have a high proportion of males due to childbirth. In conclusion, the impact of immigration on health insurance finances is not large, and has a positive effect on finances. Practical Implications: If we simply consider the financial aspect, encouraging foreigners to subscribe to health insurance has a positive effect on finances. In particular, the more foreign workers are enrolled, the greater the financial gain. In particular, increasing the employment of foreign women through language education, vocational training, and employment support will help finance health insurance. One of the reasons foreign subscribers have a positive impact on health insurance finance is the low medical utilization rate. It can be said that young and healthy foreigners use fewer hospitals and clinics, but another aspect means that foreigners have difficulty using health insurance for various reasons. Therefore, various supports must be accompanied so that foreign subscribers can use medical services when necessary.

• KDI Journal of Economic Policy
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• v.39 no.4
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• pp.69-94
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• 2017

This paper re-examines the impacts an institutional arrangement may have on labour market outcomes such as the employment and unemployment rates. Based on the results from a generalized econometric model, the generosity of unemployment insurance benefits, organized labour and active labour market policy have effects on a labour market in line with previous findings. However, taxes on labour and the degree of employment protection are found to affect neither the employment rate nor the unemployment rate. Thus, some findings in this paper validate earlier findings, whereas others do not.

• Korea Journal of Hospital Management
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• v.13 no.4
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• pp.119-145
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• 2008

The objectives of this study were to inspect how the law effected on hospital employment system and which policy and strategy are needed to cope with the present situation as the law regarding irregular workers law has enacted for a year. To grasp the changes of employment style in hospital, 56 hospitals among 311 general hospitals were questioned in this study. And employment policy and strategy were developed by referencing examples of developed nations and other industries. The survey showed that the wage and welfare level of irregular workers in hospitals was improved compared to that in the other industries. But there were still much discrimination between regular and irregular workers. The policy direction of government is, first of all, to follow the principle of equal treatment to equal value of labour. The first feasible policy is to enforce social security. The second one is an employment promotion policy which reduces or exempts hospitals employing irregular workers from tax and insurance fee. The third one is to extend employment contract period to 3 years. and finally there are policies to permit more dispatched jobs and to expand the social insurance coverage. The strategies to solve the problem of irregular workers are as follows; 1) performance wage system, 2) guaranteeing employment by unlimited contract, 3) creating new category of workers, 4) the wage system of management by object, 5) the method of job classification. This study has a meaning in the point that it was studied on hospital which is special industrial part and analyzed the changes after enacting irregular workers law and presented management strategy for countermeaure program. In this study, it was expected to contribute to decisions-making in hospital management, especially when using human resources.

• The Journal of Bigdata
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• v.2 no.2
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• pp.17-31
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• 2017

With the development of the big data environment, public institutions also have been providing big data infrastructures. Public data is one of the typical examples, and numerous applications using public data have been provided. One of the cases is related to the employment insurance. All employers have to make contracts for the employment insurance for all employees to protect the rights. However, there are abundant cases where employers avoid to buy insurances. To overcome these challenges, a data-driven approach is needed; however, there are lacks of methodologies to integrate, manage, and analyze the public data. In this paper, we propose a methodology to build a predictive model for identifying whether employers have made the contracts of employment insurance based on public data. The methodology includes collection, integration, pre-processing, analysis of data and generating prediction models based on process mining and data mining techniques. Also, we verify the methodology with case studies.