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

• KDI Journal of Economic Policy
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• v.11 no.4
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• pp.23-38
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• 1989

본고(本稿)에서는 원화표시수입물가지수(貨表示輸入物價指數) 및 단위노동비용(單位勞動費用) 등의 비용요인(費用要因)과 GNP디플레이터로 표시한 물가(物價)와의 관계를 공적분검증방법(共積分檢證方法)으로 살펴보았는데 단위노동비용(單位勞動費用)과 물가간(物價間)에는 유의한 장기적(長期的) 균형관계(均衡關係)가 존재하나 이 관계식(關係式)에 수입물가지수(輸入物價指數)를 추가하기는 곤란한 것으로 나타났으며 수입물가지수(輸入物價指數)와 물가간(物價間)에도 유의한 장기적(長期的) 균형관계(均衡關係)를 발견하지 못하였다. 이에 따라 공적분(共積分)과 오차수정모형(誤差修正模型)을 사용하여 단위노동비용(單位勞動費用)만으로 인플레식(式)을 추정(推定)한 결과 그 적합도가 뛰어난 것으로 나타났다. 추정결과(推定結果)에 의하면 단위노동비용상승(單位勞動費用上昇)의 물가(物價)에 대한 영향은 영구적이며 최조 2년반 동안에 최대로 나타날 뿐 아니라 과도조정(過度調整)(overshooting)현상(現象)이 있는 것으로 나타났다. 이에 따라 비록 90년도의 임금인상(賃金引上)이 상당폭 둔화(鈍化)된다 하더라도 87년 하반기부터 시작된 단위노동비용급증(單位勞動費用急增)의 누적적 효과로 인하여 90년의 상당히 높은 인플레율은 불가피할 것으로 전망되었다. 마지막으로 이와 같은 물가상승압력(物價上昇壓力)을 완화하기 위해서 정책입안자(政策立案者)의 입장에서 본고(本稿)의 연구결과(硏究結果)에 대해 어떠한 해석이 가능한가를 논의하였는데, 정부(政府)의 정책입안자(政策立案者), 기업가(企業家) 및 근로자(勤勞者) 등 각(各) 경제주체(經濟主體)의 단합된 공동노력(共同努力)이 요구되는 것으로 지적되었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.667-676
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• 2014

This study has conducted case studies in order to suggest alternatives to the historical data-based estimate system. Price fluctuation calculation methods based on historial cost indexes, standard estimate and construction cost indexes were applied to 9 road construction sites in Jeju for an analysis. As a result, in 5 construction sites (about 56% of 9 sites), the index control rate calculated based upon historical data-based estimate system was higher than that calculated based upon standard estimate and construction cost indexes. Thus the establishment of the requirements for the adjustment of contract price due to price fluctuation delays, which leads to a significant difference in price fluctuation amount. And, in an analysis of construction cost indexes, the indexes for road construction were used for calculating index control rate which ranges from 2.0 to 9.4 percent, indicating the time of construction amount and price fluctuation application has a significant influence on index control rate.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.1
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• pp.217-227
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• 2015

This study conducted case studies in order to suggest the improvement of GDP (Gross Domestic Product) deflator method which is adopted on calculating fluctuation rate on BTL (Build-Transfer-Lease) sewer rehabilitation projects in Jeju. As a result, because GDP deflator method calculates fluctuation rate by each quarterly, the fluctuation rate of GDP deflator method is higher than it of index adjustment rate method. And GDP deflator method cannot reflect real price because of applying fixed index in whole construction cost for calculating fluctuation rate. Especially, the notification day - the base point influences fluctuation rate and fluctuation amount strongly in GDP deflator method.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.6-12
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• 2010

일반적으로 가뭄은 기상학적 가뭄, 농업적 가뭄, 수문학적 가뭄의 유형 등으로 분류한다. 본 연구에서는 우리나라에 적합한 수문학적 가뭄 지수인 물가용지수(Water Availability Index)를 개발하였다. 또한 다각적인 가뭄평가를 위해 기상학적 가뭄의 평가할 수 있는 표준강수지수(Standard Precipitation Index)와 농업적 가뭄을 평가할 수 있는 토양수분지수(Soil Moisture Index) 그리고 개발한 물가용지수(Water Availability Index)를 지수의 가뭄에 대한 등급을 통일시키기 위해 새롭게 산정하였다. 또한 기상청에서 제시하고 있는 월간기상정보 자료를 이용하여 가뭄전망을 할 수 있는 기법을 개발하였다.

• 레미콘
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• no.4 s.47
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• pp.103-110
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• 1996

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.535-543
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• 2019

This study was conducted to find a pathway from the general government debt to GDP ratio(GDR) to the age standardized Suicide Rate(suicide rate). The variables used in this study are GDR, the consumer price index for living necessaries(CPIL), the household debt to GDP ratio(Household Debt), and suicide rate. The data used in this study were standardized data from 2001 to 2015 of Korean Statistical Information Service(KOSIS) and the path analysis was performed using the analysis IBM SPSS 22 and Amos. As a result of the path analysis, the path of GDR-CPIL-Household Debt-Suicide rate, and the direct of effect were in order 0.954, 0.904 and 0.675 were confirmed. The indirect effect of GDR on Household Debt is 0.862, GDR on Sucide Rate is 0.581, CPIL on Suicide Rate is 0.610. Neither of these indirect effect coefficient was significant(p>0.05).

• Journal of Digital Convergence
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• v.17 no.10
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• pp.169-176
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• 2019

Recently, the Korean economy is congested with Japan's economic retaliation, the US-China trade war, the Bank of Korea's 0.25% base rate cut and Korea's economic growth forecast revision. The purpose of this study is to analyze the KOSPI, CPI, Treasury bonds(3 years) Interest rate & sales performance of all industries, and examine the impact of each index on the KOSPI. The analysis period is from January 2003 to June 2019, and the effect of each index on the KOSPI is analyzed. In numerical analysis, we performed correlation coefficients and regression analysis. In the model analysis, the distribution, quadrant, scatter, box-plot and impulse response were examined. This study examined the volatility and dynamic characteristics of each index. As a result, the KOSPI showed a high correlation with sales and Treasury bonds, but showed a very low correlation with the CPI. The KOSPI will continue to be affected by sales and interest rates.

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.21-29
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• 2015

Construction cost index (CCI) has been published for last 10 years, it's contributed to update the historical cost data, analysis cost fluctuation and evaluate the market price for construction works with direct or indirect manner. CCI is a secondary or processed statistics using the basic statistics of input output table (IO table) and producer price index (PPI) from the Bank of Korea (BOK). So once the basic statistics change, it is required to modify the calculating model of CCI. Recently the BOK changed some fundamental principles and the base year (from 2005 to 2010), that can be used in IO table and PPI. This research analyzed the recent revision of basic statistics and their impacts on CCI, and improved the previous CCI model in response to it. Also the validity of new CCI was verified by analyzing the items and weights utilized in CCI and comparing the related index.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1471-1479
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• 2017

The variability of trade price index of apartment influences on the various aspect, especially economics, social phenomenon, industry, and culture of the country. In this article, the autoregressive error (ARE) model has been considered for analyzing the monthly trading price index of apartment data. About 16 years of the monthly data have been used from September 2001 to May 2017. In the ARE model, six macroeconomic variables are used as the explanatory variables for the rade price index of apartment. The six explanatory variables are mortgage rate, oil import price index, consumer price index, KOSPI stock index, GDP, and GNI. The result has shown that trading price index of apartment explained about 76% by the mortgage rate, and KOSPI stock index.