• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7134-7147
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• 2014

This study examined one of the contemporary issues that may be interesting to academics and practitioners regarding the driving force of the growth rate for the firms belonging to the chaebols in the Korean capital markets. With respect to the empirical results obtained from two hypothesis tests, the first hypothesis was to identify any financial determinants on the growth rate by applying both dynamic panel data and static panel data models. The debt ratios relevant to the book- and market-value showed their positive relationships with the DV of GROWTH1, along with other significant IDVs such as one-period lagged DV of GROWTH_1, SIZE1 and FOS with statistical significance. Second, by employing conditional quantile regression (CQR) analysis, the control variables, such as ROA, SMARKET, time dummy variable of F2010 and F2011, and the industry dummies of IND3 and IND10, provided evidence of their significant influences on DV of GROWTH1.

• Journal of Labour Economics
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• v.28 no.3
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• pp.141-166
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• 2005

The purpose of this study is to evaluate the status of youth overeducation and to analyze the impact on the wage system, before and after the financial crisis. In this study, we adapt the following method; first, we investigate the year 1996 (before financial crisis) and year 2000 (after financial crisis) data from "the Survey Report on the Wage structure", based on the data from "the Occupational Dictionary" by occupation group. So we could evaluate the difference between the youth over-educational status, before and after financial crisis. Second, we analyze the reason why the difference occurs, with financial crisis dummy variable and other variables such as sex, occupation, industry. Third, we try to find the difference between the impact of the overeducation on the wage rate, before and after financial crisis. The main findings are as follows; first, the degree of overeducation in year 2000 is more than in year 1996. So the financial crisis plays the important role in deepening the degree of overeducation. Second, the wage rate of the overeducated worker is higher than that of the required-educated worker. Also, the both wage rates are increased after financial crisis. However, the difference of both wage rates' has declined over the financial crisis. Such a finding means that even though the both wage rates of the overeducated and the required-educated worker are increased, the wage rate of the required-educated worker has increased much more than that of overeducated worker, after the financial crisis.

• The Korean Journal of Financial Management
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• v.23 no.1
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• pp.49-67
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• 2006

This study examines whether won/dollar futures have price discovery function and volatility spillover effect or not, using intraday won/dollar futures prices, volumes, and spot rates for the interval from March 2, 2005 through May 30, 2005. Futures prices and spot rates are non-stationary, but there is the cointegration relationship between two time series. Futures returns, spot returns, and volumes are stationary. Asymmetric effects on volatility in futures returns and spot returns does not exist. Analytical results of mean equations of the BGARCH-EC (bivariate GARCH-error correction) model show that the increase of futures returns raise spot returns after 5 minutes, which implies that futures returns lead spot returns and won/dollar futures have price discovery function. In addition, the long-run equilibrium relationship between the two returns could help forecast spot returns. Analytical results of variance equations indicate that short-run innovations in the futures market positively affect the conditional variances of spot returns, that is, there is the volatility spillover effect in the won/dollar futures market. A dummy variable of volumes does not have an effect on two returns but influences significantly on two conditional variances.

• The Journal of Industrial Distribution & Business
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• v.9 no.7
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• pp.43-52
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• 2018

Purpose - The main purpose of this paper is to examine the effect of children's age on maternal labor supply in Korea using survival analysis. Specifically, we focus on the career re-interruption of women having children under age 12, which has rarely been studied in the existing literature. Research design, data, and methodology - We use micro data from the Korea Labor and Income Panel Study (KLIPS) surveyed from 1998 to 2016. Instead of using a pre-school child dummy or the number of young children as an explanatory variable, 9 children's age dummies are included to capture the effect of nurturing 0 to 9 years old children. This study estimates the hazard of a woman's exiting the labor market after her first experience of the career interruption, rather than the hazard of the first career interruption itself. A Cox proportional hazard model is applied to numerically capture the impact of children's age on behavioral changes in maternal labor supply. The sample used in this analysis is women between 15 and 54 years old. Most of all, we restrict the sample to women who had at least a child between 0 and 12 years old at the time of quitting their jobs. Results - The Cox proportional hazard model estimates show a strong negative effect of a 0-year-old child on maternal labor supply. Mothers with newborns have a high hazard ratio of labor force exit after the re-entry. The hazard of women with infants is three times higher than those with children aged 10 to 18. Additionally, the results show that not only newborns, but also children in the age of school-entry have a negative impact on their mother's labor supply. Conclusions - The findings reveal that children's ages need to be properly expanded and included when analyzing the effect of children and their ages on married women's labor supply, especially on women's career re-interruption. A large negative effect of 7-year-old children on maternal labor supply found here indicates that supporting mothers with school age children as well as pre-school children is necessary to prevent mothers from leaving the labor market.

• The Journal of Bigdata
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• v.5 no.1
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• pp.11-27
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• 2020

In this paper, we developed a big data platform to store, process, and analyze effectively on such education longitudinal study data. And it was applied to the Seoul Education Longitudinal Study(SELS) to confirm its usefulness. The developed platform consists of data preprocessing unit and data analysis unit. The data preprocessing unit 1) masking, 2) converts each item into a factor 3) normalizes / creates dummy variables 4) data derivation, and 5) data warehousing. The data analysis unit consists of OLAP and data mining(DM). In the multidimensional analysis, OLAP is performed after selecting a measure and designing a schema. The DM process involves variable selection, research model selection, data modification, parameter tuning, model training, model evaluation, and interpretation of the results. The data warehouse created through the preprocessing process on this platform can be shared by various researchers, and the continuous accumulation of data sets makes further analysis easier for subsequent researchers. In addition, policy-makers can access the SELS data warehouse directly and analyze it online through multi-dimensional analysis, enabling scientific decision making. To prove the usefulness of the developed platform, SELS data was built on the platform and OLAP and DM were performed by selecting the mathematics academic achievement as a measure, and various factors affecting the measurements were analyzed using DM techniques. This enabled us to quickly and effectively derive implications for data-based education policies.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.619-627
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• 2013

This study reviews the time while the homeless patients Length of Stay emergency medical institution according to their medical treatment when they visit a hospital and characteristics of pathogenesis to understand the related factors affecting the case. Such review aims at providing basic data and information on how to improve medical care services of our society. 691 homeless patients visited an emergency medical care institution in Chungnam-si for one year from January 1, 2012 until December 31, of the same year were surveyed. Methods adopted were the analysis of frequency, ANOVA, correlation analysis and multiple regression analysis was conducted by making an independent variable as a dummy. This study came to a conclusion that first of all a medical care institution is required to avoid negative awareness and it should provide the homeless patients with medical care of better quality, having emergency care support system. Second, as most of the homeless patients are in their 40 or 50's, they are still in the age of high productivity of our society. Therefore, proper policy should be established and managed by the government on the program for their returning to the society as well as providing them with better medical care and support.

• Management & Information Systems Review
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• v.31 no.4
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• pp.491-516
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• 2012

The KPI of the four perspectives in BSC need to modify because of the change of management environment. In particular, the KPI of the financial perspective needs to modify necessarily. The KPI of financial perspective has been consisted of short-term measures: net profit current year, operating profit, ROE, ROIC, and EVA. But this financial indicators cannot afford to represent essential corporate sustainability management in the change of management environment. So this study suggests CSV(Creating Shared Value) as an additional KPI of financial perspective. And this study investigates whether CSV represents business performance as the additional KPI in BSC adoption firms. To verify a hypothesis, the sample includes listed firms announcing CSR index publicly between 2005 and 2010. The results of this study are summarized as follows. The high CSV firms is higher on the value relevance of firm in comparison with low CSV firms. Moreover, The firm value of BSC adoption firms is lower than otherwise, but it is insignificant. Limitation of Our study is that we have no choice but to use dummy variable. Because it is a material question as CSV measurement. Nevertheless, contribution of our study is to suggest new KPI of BSC perspective to meet management environment.

• Review of Culture and Economy
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• v.21 no.2
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• pp.29-51
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• 2018

The Korea-USA FTA was activated in 2012 and evaluated highly on market-opening among FTA agreements which the Korea government has signed. This paper empirically examines the impact of the Korea-USA FTA on the Korea content industry trade performance with USA. Using ANOVA analysis, the study tested primarily whether there are difference in content exports and imports in a korea-US trade between before and after of Korea-USA FTA in 2012, the year of the entry into force of Korea-USA FTA. Using content industry exports and import data over the period 2007-2015, we find that Korea content export to US after 2012 is significantly different from one before 2012, and there is no difference in import. Based on a regression analysis, we also tested the impact size of Korea content export performance in Korea-USA FTA. The result is that coefficient of FTA dummy variable is not significant, meaning that even though there are some difference in korea content export to US between before and after of Korea-USA FTA, the Korea-USA FTA agreement itself is not a key factor which increase the Korea content export volume to USA market.

• International Area Studies Review
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• v.15 no.2
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• pp.125-150
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• 2011

As the economy grows, there is a concern that the economic development causes a productivity reduction because of the service intensive growth. However, the economy of developed countries encounter with the productivity growth as their economy grows, which phenomenon called Baumol's paradox. Oulton (1999, 2001) find out the reason of Baumol's paradox in a forward and backward chain effects. So, this paper is aimed at verifying the theory of Oulton (1999, 2001). Moreover, we test the difference effect between a consumer service and producer service input using a dummy variable. We use the Input-Output Table (1990, 1995, 2000, 2005) that is offered by the Bank of Korea to accomplish the purpose of our research that is represented above. We find out that the Korea's intermediate producer service inputs cause a multifactor productivity growth. That result is matched with the Oulton (1999, 2001)'s theory. But, the intermediate consumer service inputs don't have a significant effect on a multifactor productivity. The result of verifying the effect of intermediate producer service inputs among industries shows that the effects on manufacture industries are less than other industries.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.141-156
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• 2013

Researchers in welfare services of local government in Korea have rather been on isolated issues as disables, childcare, aging phenomenon, etc. (Kang, 2004; Jung et al., 2009). Lately, local officials, yet, realize that they need more comprehensive welfare services for all residents, not just for above-mentioned focused groups. Still cases dealt with focused group approach have been a main research stream due to various reason(Jung et al., 2009; Lee, 2009; Jang, 2011). Social Security Information System is an information system that comprehensively manages 292 welfare benefits provided by 17 ministries and 40 thousand welfare services provided by 230 local authorities in Korea. The purpose of the system is to improve efficiency of social welfare delivery process. The study of local government expenditure has been on the rise over the last few decades after the restarting the local autonomy, but these studies have limitations on data collection. Measurement of a local government's welfare efforts(spending) has been primarily on expenditures or budget for an individual, set aside for welfare. This practice of using monetary value for an individual as a "proxy value" for welfare effort(spending) is based on the assumption that expenditure is directly linked to welfare efforts(Lee et al., 2007). This expenditure/budget approach commonly uses total welfare amount or percentage figure as dependent variables (Wildavsky, 1985; Lee et al., 2007; Kang, 2000). However, current practice of using actual amount being used or percentage figure as a dependent variable may have some limitation; since budget or expenditure is greatly influenced by the total budget of a local government, relying on such monetary value may create inflate or deflate the true "welfare effort" (Jang, 2012). In addition, government budget usually contain a large amount of administrative cost, i.e., salary, for local officials, which is highly unrelated to the actual welfare expenditure (Jang, 2011). This paper used local government welfare service data from the detailed data sets linked to the Social Security Information System. The purpose of this paper is to analyze the factors that affect social welfare spending of 230 local authorities in 2012. The paper applied multiple regression based model to analyze the pooled financial data from the system. Based on the regression analysis, the following factors affecting self-funded welfare spending were identified. In our research model, we use the welfare budget/total budget(%) of a local government as a true measurement for a local government's welfare effort(spending). Doing so, we exclude central government subsidies or support being used for local welfare service. It is because central government welfare support does not truly reflect the welfare efforts(spending) of a local. The dependent variable of this paper is the volume of the welfare spending and the independent variables of the model are comprised of three categories, in terms of socio-demographic perspectives, the local economy and the financial capacity of local government. This paper categorized local authorities into 3 groups, districts, and cities and suburb areas. The model used a dummy variable as the control variable (local political factor). This paper demonstrated that the volume of the welfare spending for the welfare services is commonly influenced by the ratio of welfare budget to total local budget, the population of infants, self-reliance ratio and the level of unemployment factor. Interestingly, the influential factors are different by the size of local government. Analysis of determinants of local government self-welfare spending, we found a significant effect of local Gov. Finance characteristic in degree of the local government's financial independence, financial independence rate, rate of social welfare budget, and regional economic in opening-to-application ratio, and sociology of population in rate of infants. The result means that local authorities should have differentiated welfare strategies according to their conditions and circumstances. There is a meaning that this paper has successfully proven the significant factors influencing welfare spending of local government in Korea.