• KDI Journal of Economic Policy
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• 제45권4호
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• pp.57-77
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• 2023

한국 소비자물가지수에서 전세지수는 단일 품목으로 최대 가중치(5.4%)를 차지하고 있으며, 전세가격 자체의 변화는 그대로 주거비 변화로 반영되고 있다. 전세는 주거서비스 비용을 자본화한 가격으로 일차적으로 월세 변화에 연동되지만, 실질적 비용인 월세와 무관하게 금리 변동에 의해서도 영향을 받는다. 따라서 전세가격을 그대로 소비자물가지수에 반영하면, 주거서비스 가격 변화 이외의 부분에 대해서도 비용 변화로 인식될 수 있다. 소비자물가지수 전세지수와 월세지수의 장기시계열을 살펴본 결과, 전세지수는 연평균 2.3% 상승하고 있으나 월세지수는 0.9% 상승하고 있어 추세적인 격차가 나타났다. 우리 경제의 금리가 서서히 하락하면서 자본화된 전세지수가 월세지수보다 더 빠르게 상승한 것으로 판단된다. 주거서비스 비용 변화를 반영할 수 있도록 전세지수의 대체 변수를 사용하여 소비자물가지수를 작성한 결과, 전반적으로 새로운 CPI는 기존의 CPI보다 물가상승률이 낮게 추정되었으며, 자가주거비를 포함하면 이러한 효과가 두드러지게 확대되었다.

• 아태비즈니스연구
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• 제14권1호
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• pp.365-379
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• 2023

Purpose - Our previous study (Chang & Lee, 2023) presented observations on the recent changes in the year-on-year (YoY) Consumer Price Index (CPI) of the Republic of Korea (ROK) after the COVID-19 pandemic. The purpose of this article is to present an integrated analysis and interpretation of the recent changes in CPI and the Aggregate Import Price Index (IPI) by incorporating recent data, specifically data from September 2022 to December 2022. Design/methodology/approach - This study collected CPI (YoY) data in the ROK from January 2019 to December 2022 using e-National Indicator System provided by the ROK. Statistical analysis was employed to analyze the data. Findings - First, we confirm the extended results of the existing study by Chang and Lee (2023). Second, we demonstrate that the Aggregate IPI in ROK increased significantly in 2022 compared to 2021. We then provide an integrated interpretation on the significant increase in CPI and aggregate IPI in ROK, which complements Chang and Lee (2023) that limits their discussion to YoY CPI. Moreover, we show that the IPI of the semiconductor in ROK decreased significantly in 2022 compared to 2021. Research implications or Originality - Our results provide important insights into the recent changes in the CPI in the ROK. The results suggest that these changes can be partially attributed to various factors, such as the global supply chain disruptions resulting from the spread of the COVID-19 pandemic and the prolonged war between Russia and Ukraine, the side effect of quantitative easing by the US Federal Reserve, heat waves and droughts caused by climate change in ROK, a surge in demand following a gradual daily recovery, US-China trade conflict, etc. Our study shows statistically comprehensive results compared to the studies that limit their discussion to YoY average growth rate.

• Journal of the Korean Data and Information Science Society
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• 제23권3호
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• pp.535-542
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• 2012

소비자물가지수는 국가의 중요한 경제 척도 중의 하나이다. 본 연구에서는 4개 도시, 서울, 부산, 대구, 광주지역의 소비자물가지수를 연구하였다. 자료는 모두 통계청에서 발췌하였고, 기간은 1998년-2011년 월별자료이며, 시계열분석 기법인 자기회귀오차모형으로 분석하였다. 소비자물가 분석을 위한 설명변수는 9가지 경제변수인 경기동행지수, 미국환욜, 생산자물가지수, 원유수입단가, 원유수입물량, 국제경상수지, 수입물가지수, 실업율, 화폐통화량을 사용하였다. 분석 결과, 자기회귀오차모형으로 각 지역별 소비자물가지수를 46%-52% 정도 설명할 수 있다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.456-459
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• 2002

오늘날 건설공사의 효율화를 위한 EVMS(Earned Value Management System)도입의 중요성을 인식하고 많은 연구가 발표되고 있다. 그러나 EVMS를 도입한 공정에 대한 경험부족과 국내 건설의 제도적${\cdot}$환경적 요인으로 인해서, 기술적인 분석이나 사례분석에 대한 관한 연구는 아직 미흡한 실정이다. 본 연구에서는 EVMS를 도입한 공정상에 성과지수(SPI : Schedule Performance Index, CPI : Cost Performance Index)를 산정하여, 여러 통계적 분석방법을 적용해서 프로젝트 관리상에 일정, 비용상의 추세(Trend) 및 문제의 원인을 분석${\cdot}$연구하고자 한다.

• 한국치위생학회지
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• 제14권6호
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• pp.805-812
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• 2014

Objectives: The purpose of the study was to examine the association between diabetes mellitus and community periodontal index in Korean adults. Methods: The study populations were recruited by the Fifth Korea National Health and Nutrition Examination Survey. Study subjects were 10,411 who were examined oral examination, blood test, and aged over 19 years. Using multiple logistic regression analyses, the variables were adjusted for gender, age, household income, family history of diabetes, body mess index, smoking habit, and frequency of tooth brushing. Periodontal tissue examination of the subjects was performed and scored by Community periodontal index(CPI). Using probe, six teeth were examined for hemorrhage, plaque, and pocket depth and classified into $CPI_0$, $CPI_1$, $CPI_2$, $CPI_3$ and $CPI_4$. Healthy periodontal groups($CPI_{0-2}$) and periodontal disease groups($CPI_{3-4}$) were divided by the periodontal disease status. The definition of diabetes mellitus(DM) was decided by the diagnosis by the doctors and fasting blood sugar level. Those who were diagnosed as DM were included in DM group. The DM variables included normal blood sugar level, increased fasting blood sugar level, and DM blood sugar level. The DM variables were compared to periodontal disease blood sugar level and analyzed. Results: The periodontitis prevalence rate was 23.2%. Those who had diabetes mellitus accounted for 5.5% of the subjects. Those who had impaired fasting glucose accounted for 17.7% and 7.9% of subjects were diabetes mellitus by blood test. In the confirmed diabetes group by doctor, the periodontitis prevalence rate was significantly higher than the non-diabetic group. Diabetic group by blood test had the highest prevalence rate of periodontitis than those who had impaired fasting glucose group or normal group. After adjusting for gender, age, household income, family history of diabetes, body mass index, smoking habit, and frequency of tooth brushing, the risk of periodontitis in diagnosed diabetes mellitus was 1.57 times(95% CI; 1.27-1.94) higher than the normal group. In impaired fasting glucose group and diabetes mellitus group by blood test, the risk of periodontitis was 1.11 times(95% CI; 0.95-1.30) and 1.45 times(95% CI; 1.45-2.12) higher, respectively. Conclusions: There was a significant relationship between diabetes mellitus and periodontitis in Korean adults. These results suggest that diabetes mellitus is a risk factor for periodontitis.

• 대한치과의사협회지
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• 제54권10호
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• pp.752-770
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• 2016

Introduction: Caries prevention through diet control can be achieved clinically by use of the cariogenic potentiality for a range of food commonly eaten by Koreans. Material & methods: The cariogenic potentiality index of each food can be calculated with the sugar contents and the viscosity of each food applying the regression analysis on the variables. 278 favorite foods for Korean were examined. Result 1. The formula of CPI is as below Cariogenic potentiality index (CPI) = 2.581343*sugar contents+0.598324*viscosity 2. The average CPI of the fruits, vegetable are 9.07~9.62 minutes. But the average CPI of the carbohydrate food is 15.21~19.60 minutes. Conclusion: Using the cariogenic potentiality indices, we will be able to determine an individual patients' average oral status for caries experience in the future. In addition, diet control by use of the cariogenic potentiality index and the analysis for each nutrient is considered as useful clinically for diet control in preventive dentistry.

• 한국농림기상학회지
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• 제16권4호
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• pp.384-388
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• 2014

과거 12년동안(2001~2012년)의 벼 등숙기간인 8~9월의 기상변화 특징은 기온이 높아지고 일조시간이 줄어드는 경향이었다. 이와 같은 벼 등숙기간의 고온과 일조시간의 부족은 벼 기준의 기후생산력지수(CPI)의 감소의 원인이었고, 감소의 정도는 벼 출수기가 빠를수록 더 크게 나타나는 것으로 분석되었다. 따라서, 안정적인 벼생산량을 확보하기 위해서는 벼 출수기를 늦추는 재배적인 조치가 필요할 것으로 판단되었다. 그리고, 과거 12년동안의 벼 수량의 변화는 특별한 경향을 나타내지는 않았으나, 벼 수량의 연간 변화는 CPI의 연간 변화와 유사한 패턴을 보였다. 특히, 출수기가 8월 11일 조건에서, 벼 수량에 대한 CPI의 일차함수는 전국 벼 수량 변이의 63%정도 설명하는 것으로 분석되었다.

• 한국신뢰성학회지:신뢰성응용연구
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• 제2권1호
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• pp.33-45
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• 2002

We investigate into some problems related to Corruption Perception Index(CPI). Delphi method is a popular for obtaining CPI; it is a mean of systematically collecting and progressively refining information provided by a group of selected experts in order to obtaining the weight values of questionnaires. However, Delphi method hold low aspect, to some extent, for it is solely dependent upon the judgment of a few professionals. In this paper, we propose the measurement model for X in LISREL as alternative for gaining the weight values of questionnaires. We use the 1999 Seoul ACI(Anti- Corruption Index) for empirical study.

• 한국치위생학회지
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• 제12권5호
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• pp.943-952
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• 2012

Objectives : The purpose of this study was to examine the impact of the systemic osteoporosis of Korean adults on their periodontal diseases and CPI index based on the data of their systemic osteoporosis. Methods : The third-year raw data of the 4th 2009 National Health & Nutrition Survey that turned out to be representative and reliable were utilized. The subjects in this study were 7,285 adults who were over the age of 19 and got both of health and dental checkups. As for data analysis, the statistical packages PASW 19.0 and SAS 9.0 were employed. Results : The most periodontal diseases were found in those who had osteoporosis in the entire parts, entire femur, femoral neck and spiral bone, but there was no significant relationship between periodontal diseases and osteoporosis. As for the connections between peridontal diseases and osteoporosis, the adults who had femoral neck osteoporosis had a 2.057-fold less bone mass than those who had a normal bone density in this part, and the former's periodontal diseases increased in proportion to that. There was consequently a statistically significant relationship between the two(p<0.05). Among the prevalence factors of osteoporosis, a lower entire femur bone mineral density led to a lower CPI index(p<0.01), and a lower femoral neck bone mineral density led to a higher CPI index(p<0.05). Thus, there was a significant relationship between osteoporosis and the oral health indicator. Conclusions : The above-mentioned findings confirmed that in terms of the relationship among the periodontal diseases, CPI index and osteoporosis of Korean adults, a higher risk of osteoporosis affected the increase of chronic periodontal diseases.

• Journal of Periodontal and Implant Science
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• 제46권1호
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• pp.10-21
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• 2016

Purpose: This study evaluated the predictive performance of a combination of self-report questionnaires, salivary hemoglobin levels, and age as a non-invasive screening method for periodontitis. Methods: The periodontitis status of 202 adults was examined using salivary hemoglobin levels, responses to 10 questions on a self-report questionnaire, and the Community Periodontal Index (CPI). The ability of those two variables and the combination thereof with age to predict the presence of CPI scores of 3-4 and 4 was assessed using logistic regression and receiver operating characteristic (ROC) curve analysis. Results: CPI scores of 3-4 and 4 were present among 79.7% and 46.5% of the sample, respectively. The area under the ROC curves (AUROCs) of salivary hemoglobin levels for predicting prevalence of CPI scores of 3-4 and 4 were 0.63 and 0.67, respectively (with sensitivity values of 71% and 60% and specificity values of 56% and 72%, respectively). Two distinct sets of five questions were associated with CPI scores of 3-4 and 4, with AUROCs of 0.73 and 0.71, sensitivity values of 76% and 66%, and specificity values of 63% and 69%. The combined model incorporating both variables and age showed the best predictive performance, with AUROCs of 0.78 and 0.76, sensitivity values of 71% and 65%, and specificity values of 68% and 77% for CPI scores of 3-4 and 4, respectively. Conclusions: The combination of salivary hemoglobin levels and self-report questionnaires was shown to be a valuable screening method for detecting periodontitis.