• Title/Summary/Keyword: statistical indicator

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A Study on the Improvement in Statistical Indicator of Public Library (공공도서관 통계지표 항목 설정의 개선방향에 관한 연구)

  • Cho, Hyun-Yang;Kim, Hong-Ryul
    • Journal of Korean Library and Information Science Society
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    • v.43 no.4
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    • pp.427-450
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    • 2012
  • This study was to propose an improvement direction in statistical indicators of public libraries to collect objective data from such libraries. This improvement direction was made by deriving from countable factors at the library. These were selected from various parts of the library sectors, such as the library-related laws, public library standard of our country, and statistical indicators of IFLA and other major countries. Also The these statistical indicator was compared to the current statistical indicator of public library in Korea. The results will be able to develop new draft of statistical indicator, which can be used in understanding the present situation of public libraries.

A Study on the Development of Index for Food Safety Status based on the Statistical Data (식품안전수준에 대한 지수 개발 연구)

  • Yang, Sung-Bum
    • Korean Journal of Organic Agriculture
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    • v.30 no.1
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    • pp.21-35
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    • 2022
  • Measuring the food safety has been focused only on the psychological consumers' recognition of food safety. The actual measurement tool should consist of the evidence-based statistical data to assess the level of national food safety in scientific perspectives. This paper described the development of a concept to measure the food safety of the food chain based on OECD PSR framework. This paper discusses the elaboration of a set of 8 food safety related data issued as statistical data, and which were same weighted. These food safety statistical data (FSDs) were derived as the basis of measuring the variation of food safety during 2013-2019. The values of the primary production indicator (PPI), the processing and manufacturing indicator (PMI), and the distribution and consumption indicator (DCI) are 0.558-0.859, 0.533-0.691, and 0.979-0.982, respectively. The food safety status (FSS) derived from the safety indicator values of each of the three stages is 0.700-0.810. In order to increase the level of food safety, it is necessary to pay attention to PMI and PPI management. In the future, continuously calculating the level of food safety, managing it like the level of psychological safety, and further expanding it to the level of food safety between countries will help establish policies to improve the level of food safety in Korea.

Statistical Tests for the Lead-Lag Relationship between the Stock Price and the Business Indicator

  • Kim, Tae-Ho;Lee, Sung-Duck;Cho, Joong-Jae
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.41-50
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    • 2007
  • This study attempts to test the lead-lag relationship between the stock price and the business indicator in the multivariate context. It additionally investigates the short and long-run dynamic relationships among the four market variables. The hypothesis that the stock price leads the business indicator is found to be rejected for the whole study period. When structural change is considered, the statistical result appears to reflect the reality. The causal relationships among the variables in the former period are simpler than those in the latter period, and the stock price significantly appears to lead the business indicator. On the other hand, the relationship between the stock price and the business indicator in the latter period appears to prove the recent hypothesis of their coincidence.

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DEVELOPMENT OF STATE-LEVEL APPRAISAL INDICATORS OF SUSTAINABLE CONSTRUCTION IN TAIWAN

  • Rong-Yau Huang;Wei-Ting Hsu
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.292-298
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    • 2011
  • In this study we examine Taiwan's overall performance in accordance with sustainable construction by developing an appraisal indicator framework. The framework consists of five layers, from bottom to top: the indicator; the indicator category; the core cluster; the theme; and the overall performance. The procedure for the development of a sustainable construction indicator system is outlined. Finally, a framework consists of 3 themes, 10 core clusters, and 33 indicator categories are established. Following the established framework, 67 proper indicators are selected for each category in the framework, and data of the 53 indicators are collected respectively from a nation's statistical databank in Taiwan. Sustainable construction index aggregated step-by-step from the indicators, the indicator categories, the core clusters and the themes is computed to assess Taiwan's progress in sustainable construction. The preliminary results and the discussion are reported.

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Usage and Estimation of R-indicator for Representative (대표성을 위한 R-indicator의 사용과 추정법 연구)

  • Park, Hyeonah;Lee, Kee-Jae
    • The Korean Journal of Applied Statistics
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    • v.28 no.3
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    • pp.417-427
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    • 2015
  • Measures in response rate used to measure the representativeness of the sample (the more high response rate) better explain the representativeness of the sample. However, we cannot often explain the representativeness of the sample because there is nonresponse even in the high response rate. Therefore, Schouten et al. (2009) presented a new R-indicator measure that can be described as a representative of the sample. We research the new estimator of the R-indicator in this paper because there are parameters that require estimations. We describe the meanings as representative of the R-indicator; consequently, the bias and efficiency of the proposed estimator for R-indicator are compared to the existing estimator under various simulations. The representativeness of the sample is also explained by applying the proposed estimators in the actual data.

Development of Indicators for Evaluating the Size of Economic Investment for Child Care in Korea (한국아동보육사업의 경제적 규모 평가를 위한 지표개발 연구)

  • Lee, Seung-Hee;Paik, Il-Woo;Kim, Myoung-Soon
    • Korean Journal of Child Studies
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    • v.26 no.1
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    • pp.183-202
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    • 2005
  • This study performed intensive indicators based on a model of economics of education. Trends of childcare in Korea were obtained by producing values developed with statistical data. Results showed that such simple initial indicator values as numbers of children, institutions and teachers have improved. However, intensive indicator values that take demographic and economic conditions into consideration have not reached the same rate of progress as the initial indicator values. In other words, qualitative growth remains at an unsatisfactory level in comparison to quantitative growth and to qualitative growth in members of the Organization for Economics Cooperation and Development (OECD).Thus, financial investment by the government should be expanded in order to reach the desired level of high quality in daycare for children.

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Statistical analysis of the employment future for Korea

  • Lee, SangHyuk;Park, Sang-Gue;Lee, Chan Kyu;Lim, Yaeji
    • Communications for Statistical Applications and Methods
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    • v.27 no.4
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    • pp.459-468
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    • 2020
  • We examine the rate of substitution of jobs by artificial intelligence using a score called the "weighted ability rate of substitution (WARS)." WARS is a indicator that represents each job's potential for substitution by automation and digitalization. Since the conventional WARS is sensitive to the particular responses from the employees, we consider a robust version of the indicator. In this paper, we propose the individualized WARS, which is a modification of the conventional WARS, and compute robust averages and confidence intervals for inference. In addition, we use the clustering method to statistically classify jobs according to the proposed individualized WARS. The proposed method is applied to Korean job data, and proposed WARS are computed for five future years. Also, we observe that 747 jobs are well-clustered according to the substitution levels.

A study on sensitivity of representativeness indicator in survey sampling (표본 추출법에서 R-지수의 민감도에 관한 연구)

  • Lee, Yujin;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.30 no.1
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    • pp.69-82
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    • 2017
  • R-indicator (representativeness indicator) is used to check the representativeness of samples when non-responses occur. The representativeness is related with the accuracy of parameter estimator and the accuracy is related with bias of the estimator. Hence, unbiased estimator generates high accuracy. Therefore, high value of R-indicator guarantees the accuracy of parameter estimation with a small bias. R-indicator is calculated through propensity scores obtained by logit or probit modeling. In this paper we investigate the degree of relation between R-indicator and different non-response rates in strata using simulation studies. We also analyze a modified Korea Economic Census data for real data analysis.

Construction of an Economic Sentiment Indicator for the Korean Economy

  • Moon, Hye-Jung
    • The Korean Journal of Applied Statistics
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    • v.24 no.5
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    • pp.745-758
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    • 2011
  • An Economic Sentiment Indicator(ESI) is a composite indicator of business survey indices(BSI) and consumer survey indices(CSI). The ESI designed to reflect economic agents' (this includes producers and consumers) overall perceptions of economic activity in a one-dimensional index. The European Commission has published an ESI since 1985. This paper demonstrates the construction of an ESI for the Korean economy. The BSI and CSI components (having a high correlation and a leading feature with respect to GDP) are selected to construct the ESI and they are aggregated using a weighted average and then scaled to have a long-term average of 100 and a standard deviation of 10. Thus values greater than 100 indicate an above-average economic sentiment and vice versa. The newly constructed Korean ESI that extends to January 2003 shows a good tracking performance of GDP and adequately reflects the overall perception of economic activity.

Classification Rule for Optimal Blocking for Nonregular Factorial Designs

  • Park, Dong-Kwon;Kim, Hyoung-Soon;Kang, Hee-Kyoung
    • Communications for Statistical Applications and Methods
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    • v.14 no.3
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    • pp.483-495
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    • 2007
  • In a general fractional factorial design, the n-levels of a factor are coded by the $n^{th}$ roots of the unity. Pistone and Rogantin (2007) gave a full generalization to mixed-level designs of the theory of the polynomial indicator function using this device. This article discusses the optimal blocking scheme for nonregular designs. According to hierarchical principle, the minimum aberration (MA) has been used as an important criterion for selecting blocked regular fractional factorial designs. MA criterion is mainly based on the defining contrast groups, which only exist for regular designs but not for nonregular designs. Recently, Cheng et al. (2004) adapted the generalized (G)-MA criterion discussed by Tang and Deng (1999) in studying $2^p$ optimal blocking scheme for nonregular factorial designs. The approach is based on the method of replacement by assigning $2^p$ blocks the distinct level combinations in the column with different blocks. However, when blocking level is not a power of two, we have no clue yet in any sense. As an example, suppose we experiment during 3 days for 12-run Plackett-Burman design. How can we arrange the 12-runs into the three blocks? To solve the problem, we apply G-MA criterion to nonregular mixed-level blocked scheme via the mixed-level indicator function and give an answer for the question.