• Title/Summary/Keyword: IV Regression

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The Wage Premium of English Skills in the Korean Labor Market (우리나라 노동시장에서 영어 실력의 프리미엄)

  • Choi, Hyung-Jai;Kim, Jin-Yeong
    • Journal of Labour Economics
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    • v.32 no.2
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    • pp.61-93
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    • 2009
  • In this paper, we estimate the wage premium of English skills in the Korean labor market using Korean Labor and Income Panel Study(KLIPS) data. In a simple OLS model, we find that people with some English skills in terms of self evaluation or job requirement earn 30% more than those who do not have English skills. But in a small sample of relatively young people, higher English lest scores do not raise earnings. When we add SAT scores in the wage equation, there is no wage premium of English skills, and in the IV estimation, we find no "English premium". These results consistently imply that while there is a large wage premium of English skills in the Korean labor market, it reflects unobservable ability for the most part. Meanwhile some of the regression results favor human capital theory over screening theory as an explanation of the nature of the wage premium of English skills.

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Chronic Obstructive Pulmonary Disease in Korea: Prevalence, Risk Factors, and Quality of Life (한국성인의 만성 폐쇄성 폐질환 유병률, 위험요인 및 삶의 질)

  • Jung, Young-Mi;Lee, Hee-Young
    • Journal of Korean Academy of Nursing
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    • v.41 no.2
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    • pp.149-156
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    • 2011
  • Purpose: This study seeks to examine prevalence, risk factors, and quality of life of Korean adults with Chronic Obstructive Pulmonary Disease (COPD). Methods: From the database of the Fourth Korean National Health and Nutrition Examination Survey (KNHANES IV-1, 2008), the researchers selected 1,458 adults over the age of 45. The original study was a population-based epidemiological survey of health and nutrition with a stratified multistage clustered probability design. Prevalence of COPD was computed on the basis of the sampling weight. Data were analyzed using descriptive statistics, ${\chi}^2$ test, t-test and multiple logistic regression with the SPSS WIN 18.0 and SAS Ver. 9.1 program. Results: The prevalence of COPD was 18.0% among people older than 45 yr. The prevalence of current smokers was 19.7% in this population and 26.3% in individuals with COPD. Age, gender, education, and smoking levels were found to be risk factors for COPD. Significant difference in quality of life was founded between adults with COPD and the healthy controls. Conclusion: The results of this study indicate that COPD is a highly prevalent disease in Korea. To reduce the prevalence of COPD and improve health-related quality of life in patients with COPD, nursing interventions must focus on prevention of risk factors.

Determinants of Corporate R&D Investment: An Empirical Study Comparing Korea's IT Industry with Its Non-IT Industry

  • Lee, Myeong-Ho;Hwang, In-Jeong
    • ETRI Journal
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    • v.25 no.4
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    • pp.258-265
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    • 2003
  • In our study, we extracted the market, finance, and government factors determining R&D investment of individual firms in the IT industry in Korea. We collected the financial data of 515 individual firms belonging to IT and non-IT industries between 1980 and 1999 from the Korea Investors Service's database and investigated the empirical relationship between the factors using an ordinary regression model, a fixed effects model, and a random effects model. The main findings of our study are as follows: i) The Herfindahl Index variable representing the degree of market concentration is statistically insignificant in explaining R&D expenditures in the IT manufacturing industry. ii) Assets, which is used as a proxy variable for firm size, have a positive and statistically significant coefficient. These two results suggest that the Schumpeterian Hypothesis may be only partially applied to the IT manufacturing industry in Korea. iii) The dividend variable has a negative value and is statistically significant, indicating that a tendency of high dividends can restrict the internal cash flow for R&D investment. iv) The sales variable representing growth potential shows a positive coefficient. v) The subsidy as a proxy variable for governmental R&D promotion policies is positively correlated with R&D expenditure. This suggests that government policy has played a significant role in promoting R&D activities of IT firms in Korea since 1980. vi) Using a dummy variable, we verified that firms reduced their R&D investments to secure sufficient liquidity under the restructuring pressure during Korea's 1998 and 1999 economic crisis.

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Hypertension awareness and the related factors by age (고혈압 인지율의 평가와 연령별 특성)

  • Chun, Heeran;Kim, Il-Ho
    • Korean Journal of Health Education and Promotion
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    • v.33 no.5
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    • pp.37-46
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    • 2016
  • Objectives: This study examines the awareness of hypertension and its age-specific characteristics among Korean adults. Methods: Data were derived from the fourth Korean National Health Examination and Nutrition Survey (KNHANES IV, 2007-2009) of 14,637 subjects aged 30 and older. Self-reported prevalence of hypertension (HTN) was compared with measured arterial systolic/diastolic blood pressure, employing Kappa index, sensitivity, and specificity. Multiple logistic regression analysis was used to determine factors in hypertension awareness by age groups. Results: Kappa agreement between self-reported and measured data in hypertension was high (0.70, 95% CI 0.68-0.71). Awareness by sensitivity was relatively high (65.3%) and specificity was very high (98.8%) for all ages. After age stratification, the results revealed the very lowest level of hypertension awareness among the youngest age group: 29.1% of adults aged 30-49 years, 57.5% of adults aged 45-59 years, and 76.9% of those aged ${\geq}60years$. Predictors for awareness differed by age group. Among adults aged 30-49 years, men exhibited lower awareness to HTN than women. Among middle-aged adults, workers showed lower awareness than non-workers. Among those aged ${\geq}60years$, men and the less educated showed lower awareness to HTN than their counterparts. Conclusions: Age-specific prevention strategies are needed for hypertension management.

Impacts of Household Income and Economic Recession on Participation in Colorectal Cancer Screening in Korea

  • Myong, Jun-Pyo;Kim, Hyoung-Ryoul
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.1857-1862
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    • 2012
  • To assess the impact of household income and economic recession on participation in CRC screening, we estimated annual participating proportions from 2007 to 2009 for different CRC screening modalities according to household income levels. A total of 8,042 subjects were derived from the fourth Korean National Health and Nutrition Examination Survey (KNHANES IV). Multivariate logistic regression analysis was used to estimate odds ratios and 95% confidence intervals for CRC screening with household income quartiles by gender in each year. People were less likely to attend a high-cost CRC screening such as a sigmoidoscopy or colonoscopy independent of the income quartile during the economic recession. Income disparities for participating in opportunistic cancer screening appear to have existed among both males and females during the three years (2007-2009), but were most distinctive in 2009. An increase in mortality of CRC can therefore be expected due to late detection in periods of economic crisis. Accordingly, the government should expand the coverage of CRC screening to prevent excess deaths by reducing related direct and indirect costs during the economic recession.

Factors Impacting on the Supply Chain Collaboration of the Furniture Industry in Vietnam

  • Suong, Huynh Thi Thu
    • The Journal of Asian Finance, Economics and Business
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    • v.4 no.4
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    • pp.67-77
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    • 2017
  • The purpose of this research is to explore the factors affecting on Supply chain (SC). In fact, the collaborative supply chain (CSC) concept in Vietnam is quite new. Apart from obvious differences of doing business between Western versus and most of developing countries such as Vietnam, the literature suggests that collaboration in the supply chain (SC) of the furniture industry are quite low. The primary reason for such low adoption rates is low awareness of enterprises. In order to achieve the purpose of this study, a literature survey related to SC, CSC was carried out, and an empirical analysis was conducted among 276 manufacturers in this industry with the results analyzed. Using Cronbach's alpha analysis, Explore Factor Analysis (EFA) and Regression Analysis (RA) with primary data collected 276 valid samples from 393 samples in Vietnam, this paper explores and confirms that there are existed six basic factors affecting the collaboration in supply chain including: (i) Trust; (ii) Power; (iii) Maturity; (iv) Strategy; (v) Culture; and (vi) Frequency. Results of the research show strong evidences for policy makers and enterprises for management the supply chain collaboration in furniture industry as well as its contribution to literature review of supply chain management.

Bank-Specific Determinants of Loan Growth in Vietnam: Evidence from the CAMELS Approach

  • NGUYEN, Hoang Dieu Hien;DANG, Van Dan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.179-189
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    • 2020
  • The paper empirically examines the bank-specific determinants of loan growth in the Vietnamese banking system for the period from 2007 to 2019. We approach the CAMELS framework and employ the dynamic panel regression to determine the effects of each CAMELS factor on bank lending. To ensure the robustness of results, we also use alternative definitions of the variables and different specifications with and without full sets of CAMELS components. With these settings, we display multiple important results. (i) We find that a large capital buffer tends to boost bank lending expansion faster. (ii) High asset quality might positively contribute to high loan growth; in other words, banks subject to high credit risk are discouraged from making loans. (iii) Less efficiently managed banks are more likely to adopt an aggressive lending strategy, highlighting the moral hazard incentives of Vietnamese banks. (iv) More profitable banks with excellent competitive advantages could expand their lending activities to a larger extent. (v) Liquidity is positively related to the loan growth of banks. (vi) Perceived interest rate risk tends to suppress loan growth since interest-rate-sensitive banks might be concerned about the adverse effects of unpredictable adverse changes in interest rates in the future.

Factors Influencing Problem and Pathological Gambling in Participants of Horse Race Gambling (경마장 이용객의 도박중독 관련요인)

  • Hyun, Mi-Yeul;Cho, Ok-Hee
    • Journal of Korean Academy of Nursing
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    • v.42 no.4
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    • pp.589-598
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    • 2012
  • Purpose: The purpose of this study was to examine risk factors for pathological gambling of horse race participants. Methods: The participants, 508 horse race gamblers, completed the DSM-IV criteria of pathological gambling, Alcohol Use Disorders Identification Test (AUDIT-K) and Symptom Checklist-47-Revision (SCL-47-R). Data were analyzed using t-test, $x^2$-test, Fisher's exact test, and logistic regression analyses. Behaviors related to horse racing, alcohol abuse, and mental health were analyzed between problem or pathological gamblers compared to recreational gamblers. Results: The prevalence rates of recreational, problem, and pathological gambling were 36.6%, 39.4%, and 24.0%, respectively. Frequency of gambling (${\geq}4/day$), frequency of racetrack visiting (${\geq}3/month$), accompaniment (alone), and mental health (SCL-47-R scores) were all associated with increased risks of problem and pathological gambling. Expenditure on betting (${\geq}200,000$ won/day) and alcohol abuse (AUDIT-K 8-20 scores) group members had higher levels of gambling pathology than recreational gamblers. Conclusion: Problem and pathological gambling are highly associated with alcohol abuse and mental health disorders, suggesting that clinicians should carefully evaluate this population.

Impact of Level of Physical Activity on Healthcare Utilization among Korean Adults (성인의 신체활동 정도가 의료이용에 미치는 영향)

  • Kim, Ji-Yun;Park, Seung-Mi
    • Journal of Korean Academy of Nursing
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    • v.42 no.2
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    • pp.199-206
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    • 2012
  • Purpose: This study was done to identify the impact of physical activity on healthcare utilization among Korean adults. Methods: Drawing from the 2008 Korean National Health and Nutrition Examination Survey (NHANES IV-2), data from 6,521 adults who completed the Health Interview and Health Behavior Surveys were analyzed. Association between physical activity and healthcare utilization was tested using the $X^2$-test. Multiple logistic regression analysis was used to calculate the odds ratios of using outpatient and inpatient healthcare for different levels of physical activity after adjusting for predisposing, enabling, and need factors. A generalized linear model applying a negative binomial distribution was used to determine how the level of physical activity was related to use of outpatient and inpatient healthcare. Results: Physically active participants were 16% less likely to use outpatient healthcare (OR, 0.84; 95% CI, 0.74-0.97) and 23% less likely to use inpatient healthcare (OR, 0.77; 95% CI, 0.63-0.93) than physically inactive participants. Levels of outpatient and inpatient healthcare use decreased as levels of physical activity increased, after adjusting for relevant factors. Conclusion: An independent association between being physically active and lower healthcare utilization was ascertained among Korean adults indicating a need to develop nursing intervention programs that encourage regular physical activity.

Developing an Intrusion Detection Framework for High-Speed Big Data Networks: A Comprehensive Approach

  • Siddique, Kamran;Akhtar, Zahid;Khan, Muhammad Ashfaq;Jung, Yong-Hwan;Kim, Yangwoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.4021-4037
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    • 2018
  • In network intrusion detection research, two characteristics are generally considered vital to building efficient intrusion detection systems (IDSs): an optimal feature selection technique and robust classification schemes. However, the emergence of sophisticated network attacks and the advent of big data concepts in intrusion detection domains require two more significant aspects to be addressed: employing an appropriate big data computing framework and utilizing a contemporary dataset to deal with ongoing advancements. As such, we present a comprehensive approach to building an efficient IDS with the aim of strengthening academic anomaly detection research in real-world operational environments. The proposed system has the following four characteristics: (i) it performs optimal feature selection using information gain and branch-and-bound algorithms; (ii) it employs machine learning techniques for classification, namely, Logistic Regression, Naïve Bayes, and Random Forest; (iii) it introduces bulk synchronous parallel processing to handle the computational requirements of large-scale networks; and (iv) it utilizes a real-time contemporary dataset generated by the Information Security Centre of Excellence at the University of Brunswick (ISCX-UNB) to validate its efficacy. Experimental analysis shows the effectiveness of the proposed framework, which is able to achieve high accuracy, low computational cost, and reduced false alarms.