• KDI Journal of Economic Policy
• /
• v.45 no.4
• /
• pp.57-77
• /
• 2023

The Chonsei component holds the highest level of weight (5.4%) in the composition of the Korean consumer price index (CPI). The variations in Chonsei prices are directly reflected in the CPI as a representation of cost swings. The Chonsei refers to a deposit that accumulates the costs related to housing services and is mostly affected by variations in rental rates. Nevertheless, it is important to note that Chonsei prices are also susceptible to fluctuations in interest rates, regardless of the rent prices. Therefore, if Chonsei were directly and one-to-one indexed to the CPI, they could include changes other than residential service prices. After analyzing the time series data of the Chonsei index and rent index inside the CPI, it becomes apparent that the Chonsei index displays an average annual growth rate of 2.3%, whilst the rent index reveals a growth rate of 0.9%. The observed disparity in growth rates indicates a divergence in trends between the two indices. It is posited that the Chonsei index, when capitalized, has had a more rapid increase compared to the rental index, owing to the gradual drop in interest rates. To effectively reflect fluctuations in the housing service costs, proxies for the Chonsei index were utilized in the construction of a consumer price index. The findings of our study suggest that, overall, the newly developed CPI demonstrates a comparatively lower rate of inflation when compared to the official CPI. Furthermore, the inclusion of imputed rents for owner-occupied housing in CPI amplifies this effect.

• Asia-Pacific Journal of Business
• /
• v.14 no.1
• /
• pp.365-379
• /
• 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
• /
• v.23 no.3
• /
• pp.535-542
• /
• 2012

The consumer price index (CPI) data is one of the important economic measurement of the country. In this article, the Autoregressive Error (ARE) model has been considered for analyzing the monthly CPI data at Seoul, Pusan, Daegu, and Gwangju Cities in Korea, In the ARE model, nine economic variables are used as the explanatory variables for the CPI data set. The nine explanatory variables are CCI (coincident composite index), won-dollar rate, producer price index, oil import price, oil import volume, international current account, import price index, unemployment rate, and amount of currency. The result showed that the monthly ARE models explained about 46-52% for describing the CPI.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.456-459
• /
• 2002

It is lately issued studies on EVMS(Earned Value Management System) throughout construction industry, which is management system integrating cost and schedule effectively. So identifying importance and circumstance of introducing EVMS, CPI(Cost Performance Index) and SPI(Schedule Performance Index), which are critical components on schedule introducing EVMS, calculate and it intends to analyze the trend and problem of cost and time throughout project management, applying various statistical data analysis method.

• Journal of Korean society of Dental Hygiene
• /
• v.14 no.6
• /
• pp.805-812
• /
• 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.

• The Journal of the Korean dental association
• /
• v.54 no.10
• /
• pp.752-770
• /
• 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.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.16 no.4
• /
• pp.384-388
• /
• 2014

Air temperature has increased, while sunshine hour has decreased during the grain filling period of most rice cultivars (August to September) during the past 12 years from 2001 through 2012 in Korea. Climatic Productivity Index (CPI) has fallen because of the decreased sunshine hour and increased air temperature during the grain filling period, and the degree of reduction was greater with earlier heading. For stable rice production, we will need to delay the heading of rice as a cultivation measure against the future climatic trend. Grain yield showed no significant trend for past 12 years. However, the year to year change in grain yield showed a similliar pattern with that of CPI. Especially, a linear function relating rice yield to CPI explained approximately 63% of variation in grain yield with the heading date of August $11^{th}$ period.

• Journal of Applied Reliability
• /
• v.2 no.1
• /
• pp.33-45
• /
• 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.

• Journal of Korean society of Dental Hygiene
• /
• v.12 no.5
• /
• pp.943-952
• /
• 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
• /
• v.46 no.1
• /
• pp.10-21
• /
• 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.