• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.133-143
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• 2014

The paper uses a panel gravity model to analyse the determinants of export via Gwangyang port for the period from 2000-2012. The gravity model includes export via Gwangyang port, GDP and population of trading partners, the distances between Korea and its partners, and Korea-ASEAN FTA dummy. Hausman test shows up which one is exactly appropriate between random effect estimation and fixed effect estimation to use panel dataset. It depends on whether or not existence or nonexistence of the correlation between unobserved omitted factors and variables. Fixed effect estimation is suitable for this paper by the rejection of null hypothesis. An Empirical analysis of this paper shows GDP influences positive effects and distance influences negative effects to Gwangyang port trading partners. In addition, the results strongly supported the effects of Korea-ASEAN FTA on the growth of Gwangyang port export.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.969-977
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• 2016

Climate change affects the growth of crops which were planted especially in fields, and it becomes more important to use climate data to predict the yields of the major vagetables. The variation of the crop products caused by climate change is one of the significant factors for the discrepancy of the demand and supply, and leads to the price instability. In this paper, using a panel regression model, we predicted the garlic yields with the weather conditions of different regions. More specifically we used the panel data of the several climate variables for 15 main garlic production areas from 2006 to 2015. Seven variables (average temperature, average maximum temperature, average minimum temperature, average surface temperature, cumulative precipitation, average relative humidity, cumulative duration time of sunshine) for each month were considered, and most significant 7 variables were selected from the total 84 variables by the stepwise regression. The random effects model was chosen by the Hausman test. The average maximum temperature (January), the cumulative precipitation (March, October), the cumulative duration time of sunshine (April, October) were chosen among the variables as the significant climate variables of the model

• Journal of Korea Water Resources Association
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• v.44 no.1
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• pp.1-8
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• 2011

This paper addresses the correlation between the flood damage cost and recovery cost. National data (15 regions) for 20 years, panel data, has been analyzed for this test. Model specification of panel data analysis depends on the characteristics of data set and "fixed" or "random" effects model can be used. The results are represented in both models. As we expected all independent variables show positive relationship with recovery cost, except for the number of death and suffers. The damage of public facilities, such as rivers and road are the major factors on the damage and recovery cost, which means that flood damage can not be decreased without decreasing damages of public facilities from floods. Especially, the recovery cost is always higher than the damage cost and investment for flood control. Unlikely, government investment for flood control is the highest and recovery cost is the always lower than da mage cost andinvestment in Japan. Which means that proper investment can reduce economic damage cost of flood and recovery cost.

• The Korean Journal of Applied Statistics
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• v.19 no.2
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• pp.349-360
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• 2006

PROC MIXED in SAS can be utilized to make inferences on parameters in a mixed model by use of Restricted Maximum Likelihood Estimation Method or Maximum Likelihood Estimation Method which has more merits than ANOVA method. A regression model with unbalanced nested error structure that belongs to a mixed model is used to construct confidence intervals on variances among groups, within groups, and regression coefficients in the model. PROC MIXED is applied to three different sample sizes for simulation. As a result of the simulation study, PROC MIXED generates confidence intervals on parameters that maintain the stated confidence coefficient in a large sample size. However, it does not generate confidence intervals that maintain the stated confidence coefficient for variance components among groups and intercept in a small sample size.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.299-299
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• 2016

미농무성에서 개발된 유역수문모형 SWAT을 국내유역에 적용할 경우 일반적으로 일단위 유출 수문곡선의 첨두부가 관측치에 비해 과소하게 모의되는 경향이 있다. 본 연구에서는 이러한 원인에 대해서 고찰하고, 첨두부가 작게 모의되는 문제를 해결하기 위해서 지표유출의 지체와 관련된 서브루틴을 개선하였다. SWAT 모형에서는 지표유출의 지체는 운동파 집중시간(kinematic wave time of concentration)을 변수로 하는 지수형 감쇠함수를 사용하고 있다. 그러나 집중시간 계산식에서 지표유출에 기여하는 초과우량을 6.35mm/hr로 작은 고정값으로 가정하고 있어 큰 호우가 발생한 경우에도 집중시간이 길게 계산되는 구조를 가지고 있다. 이로 인해 지표유출의 지체 효과가 커서 첨두유량이 과소하게 산정되는 문제가 발생한다. 따라서 본 연구에서는 집중시간 계산시 고정값 6.35mm/hr 대신에 일 단위로 모의된 지표유출 발생량이 입력되도록 알고리즘을 수정하였다. 이 방법은 지표유출량의 크기에 따라 집중시간을 가변적으로 산정되게 함으로써 수문곡선의 첨두부를 보다 유연하게 구현할 수 있는 장점이 있다. 모형의 개선 효과를 평가하기 위해서 충주댐 상류유역을 대상으로 개선 전, 후의 일 단위 유출수문곡선의 첨두부를 비교하였으며, 그 결과 큰 홍수가 발생한 기간의 첨두유량이 10 % 이상 증가하는 것으로 분석되었다.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.1-23
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• 2021

The purpose of this study is to analyze the effects of the bestseller ranks on the book circulations in public libraries. To achieve this goal, the weekly data sets of 179 books' library circulation and bestseller list from January 1, 2018 to December 29, 2019 were constructed based on the data collected from BigData MarketC and YES24. Three methods for analyzing panel data including linear regression, fixed-effect, and random effect models were compared, and it turned out that fixed-effect model was better than other methods. The results show that the average ranks of bestsellers were associated with their public library circulations visually. Also, the analysis of fixed-effect model showed that the single rank decline of a book on the bestseller list decreases its average circulation of 0.108 while the size of effect varied depending on subject of books. The study empirically demonstrated the impact of a bestseller list on people's book circulation behavior, suggesting that public libraries need to reference sociocultural context as well as bestseller book lists to predict library user needs and to formulate collection development policy.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.651-667
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• 2010

In this paper, using a meta analysis of anti-hyperlipidemia effect of soybeans were studied. Studied the effects of soybeans using Hedges' standardized mean difference looked at the effect. Applying the fixed-effects model analysis of fecal cholesterol and total cholesterol and triglycerides showed a statistically significant reduction in HDL cholesterol increase was statistically significant at. In addition, the homogeneity of all variables by running the test did not meet the homogeneity of the kidney weight, between weight, HDL cholesterol, LDL cholesterol, total cholesterol, and triglycerides in the random effects model against the results of the analysis conducted by a statistically significant variable that did not.

• Industry Promotion Research
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• v.9 no.1
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• pp.81-87
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• 2024

This research aims to empirically investigate the innovative effects of 2012 Cosmetics Act amendment on the cosmetics industry. By utilizing production data from the Korea Food and Drug Administration for the period 2008-2014 and estimating a panel fixed-effects model, the study demonstrates a significant positive correlation between the legislative revision and firm production. Additionally, it is observed that both the number of brands and new products per manufacturer significantly increased following the amendment. Further, this study shows a significant positive correlation between the amendment and the potential market size, with the potential market size positively correlated with innovation. The findings of this study highlight that government regulatory improvements can positively impact industrial innovation and promotion.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.129-137
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• 2002

This paper suggests a generalized logit model with mixed effects for analysing frequency data in multi-contingency table. In this model nominal response variable is assumed to be polychotomous. When some factors are fixed but considered as ordinal and others are random, this paper shows how to use baseline-category logits to incoporate the mixed-effects of those factors into the model. A numerical algorithm was used to estimate model parameters by using marginal log-likelihood.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.744-748
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• 2010

4대강 살리기 사업에 있어 하천 준설 및 다목적 보 설치는 주요하천 상 하류의 일괄적인 준설을 통한 통수단면 확보로 홍수 소통능력을 극대화 하고, 친환경적 보설치를 통해 하도정비 실시이후에도 현재의 갈수위 이상의 수위를 유지하면서 홍수피해저감효과를 극대화하는 것을 목표로 한다. 4대강 사업시 콘크리트 형식으로 건설될 다목적 보는 월류식 구조물이지만 보의 저부에서 발생하는 양압력이나 기타 재하 하중과의 조합으로 인해 전도나 활동을 일으킬 수 있는 가능성을 가질 수 있고, 보의 규모가 커지고 가동보 등의 복합적인 형태를 가질 경우 보의 붕괴는 콘크리트 중력식 댐의 붕괴와 비슷한 양상을 가질 것으로 판단된다. 본 연구에서는 월류 구조물이 붕괴되었을때 상 하류 하천에 미치는 영향을 분석하고자 하였다. 자연하천 내의 보 붕괴 및 그에 따른 수위상승으로 인한 제방 붕괴시 실제 범람원에 안정적으로 적용가능한 고정확도 2차원 홍수범람 모형을 평가하였고, 가상하도 및 실험하도에 대한 적용을 실시하였다.