• Korea Journal of Hospital Management
• /
• 제19권2호
• /
• pp.44-54
• /
• 2014

In spite of effective curative therapy, morbidity and mortality remain high for hospitalized patients with tuberculosis(TB) in Korea. The purpose of this study was to identify patient and hospital characteristics associated with hospital care outcome. Using annual patient survey data produced by Korea Institute for Health and Social Affair, we identified 8,562 hospital discharge with primary diagnosis of TB. Logistic regression analyses were performed on a model that included age, gender, residence area, insurance status, hospital admission source, length of stay, hospital ownership and class of hospital as the explanatory variables and outcome of treatments as the dependent variable. The results show that negative outcome was associated with the patients older than 65 years, medical aid beneficiary, admission through emergency department, and the patients admitted to public owned hospitals. On the other hand, the patients who were admitted to teaching hospitals were associated with positive outcome. To improve hospital treatment outcome of TB patients, more vigorous strategies should be implemented targeting the older and poor population in regard to social support as well as the clinical management and prevention.

• Journal of Distribution Science
• /
• 제14권12호
• /
• pp.53-59
• /
• 2016

Purpose - The concept of lifetime job has disappeared, and men are interested in business foundation to work continuously with similar jobs. The value of business foundation is thought to be important in accordance with the viewpoint of society, government, individuals and family. Research design, data, and methodology - The economic exchange between South Korea and China has been expanded, and they are likely to play an important role in entry into China by business foundation in accordance with economic exchange between the two countries. As Korean residents inflow overseas, small businessmen business foundation shall be given attention scientifically and Korean Chinese business foundation shall be given attention as well. Results - The study investigated the effects on psychological characteristics and small business foundation motives upon business foundation will by using models. Self-efficacy and self achievement had positive influence upon small business foundation of Korean Chinese. The use of control variable had explanatory power (29.6%). Conclusions - The findings would help the government's small business foundation system to promote small business foundation and to be a guide for expansion in Korean Chinese's small business markets. An education program should be developed to strengthen Korean Chinese's self efficacy considering psychological characteristics.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권9호
• /
• pp.229-239
• /
• 2020

This paper examines the impact of gender on access to debt finance among Vietnamese enterprises. The paper investigates data and variables retrieved from the World Bank Enterprise Survey dataset using five Probit models. The regression results suggest that there exist more unfavourable debt financing conditions for women-led firms (WLF), measured as a lower probability of having loan applications fully approved. Firm's age, working sector, and perception of access to finance as a difficulty are found to have explanatory power on the discrimination. More importantly, the perception of debt finance as a difficulty or firms' level of confidence significantly explains the variance of the dependent variable of probability of loan approval, or gender effect would be more pronounced if the firm already has a low level of confidence. The paper also contributes in testing for the gender effect on Vietnamese enterprises from different sectors and scale, unlike other prior research papers focusing on specific sectors and/or small and medium enterprises only. The findings are highly useful for Vietnamese credit institutions to set out a specific business policy to attract more WLFs and help promoting gender equality in the working environment, especially in debt financing, which is often neglected in existing regulation and policy frameworks.

• Journal of Contemporary Eastern Asia
• /
• 제14권2호
• /
• pp.45-55
• /
• 2015

This article assesses factors that affect the ability of local fire branch heads in Taiwan to mobilize volunteer organizations in local emergency responses. Data from a survey of local fire branch heads in Taiwan is analyzed by using an OLS model to test three hypotheses regarding the relationship between the dependent variable, perceived ability to mobilize volunteer organizations in emergency response, and three explanatory variables: organizational capacity, quality of communication, and the quality of citizen engagement ex-ante to emergency response. The model indicates a positive relationship between the ability to mobilize volunteer organizations in emergency response, the quality of communications, and the quality of citizen engagement in preparedness. The research suggests that local fire branch heads and volunteer organizations should begin the process of emergency response mobilization in the preparedness stage. The quality of the citizen engagement in preparedness stages should increase the ability of local fire branch managers to mobilize external resources in emergency response.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• 제8권3호
• /
• pp.639-645
• /
• 2007

In this study, an estimation of call demand for the internet telephony was carried out using the monthly time-series data from June 2001 to December 2004. In the estimation, the call traffic was assumed to be explained by tariff of the internet telephony service, tariff of fixed and wireless services, income, quality of service, and lagged traffic variable. The traffic is assumed to follow the partial adjustment mechanism. The estimation result shows that the call traffic demand is elastic to the tariff of the service while it is inelastic to the change of income. The qualisty of service is regarded as an important factor of demand. Also there appeared the call demand is adjusting to the change of explanatory variables with some lags.

• Environmental and Resource Economics Review
• /
• 제13권3호
• /
• pp.417-440
• /
• 2004

For the behavior of the wholesale spot price, a regime switching model with time-varying transition probabilities was estimated using the data from the PJM (Pennsylvania-New Jersey-Maryland) market. By including the temperature as an explanatory variable in the transition probability equations, the threshold effect of changing regime is clearly enhanced. And hence the predictability of the price spikes was improved. This means that the model showed a very clear threshold effect, with a low probability of switching for low loads and low temperatures and a high probability for high loads and high temperatures. And temperature showed a clearer threshold effect than load does. This implies that weather-related contracts may help to hedge against the risk in the cost of buying electricity during a summer.

• The Korean Journal of Applied Statistics
• /
• 제26권3호
• /
• pp.401-411
• /
• 2013

This study investigates the controversial chickens-eggs dilemma and empirically performs statistical tests to examine if there exists a causality between them. Granger and Hsiao tests are applied to both level and stationary variables to identify the lead-lag relationships. Each of these test is found to have the robust result where the causality runs from eggs to chickens; in addition, the explanatory power of one variable in variations of the other appears to remain time invariant. The outcome is proved to be valid as the hypothesis test for no structural change in their relationship fails to be rejected.

• Journal of the Society of Naval Architects of Korea
• /
• 제53권1호
• /
• pp.29-36
• /
• 2016

In shipbuilding and offshore plant construction, pipe-stools of various types are installed. Moreover, these are many quantities but they must be installed in a successive manner. Due to these characteristics the pipe-stool installation processes easily tends to cause the schedule delays in the overall production processes. In order to reduce delay, the goal of this study is to predicts production’s lead time before manufacturing. Through this predictions it’s expected to reduce total production’s lead time by improving it's process. First of all, we made MLR(Multiple Linear Regression) and PLSR(Partial Least Square Regression) model to predict pipe-spool's lead time and then compared predictability of MLR and PLSR model. If a explanatory variable is added, it will be possible to predict results precisely.

• The Korean Journal of Applied Statistics
• /
• 제30권5호
• /
• pp.793-808
• /
• 2017

We compare various variable screening methods on multiclass classification problems when the data is ultrahigh-dimensional. Two different approaches were considered: (1) pairwise extension from binary classification via one versus one or one versus rest comparisons and (2) direct classification of multiclass responses. We conducted extensive simulation studies under different conditions: heavy tailed explanatory variables, correlated signal and noise variables, correlated joint distributions but uncorrelated marginals, and unbalanced response variables. We then analyzed real data to examine the performance of the methods. The results showed that model-free methods perform better for multiclass classification problems as well as binary ones.

• Communications for Statistical Applications and Methods
• /
• 제25권5호
• /
• pp.489-499
• /
• 2018

Jeonse is a unique property rental system in Korea in which a tenant pays a part of the price of a leased property as a fixed amount security deposit and gets back the entire deposit when the tenant moves out at the end of the tenancy. Jeonse deposit is very important in the Korean real estate market since it is directly related to the residential property sales price and it is a key indicator to predict future real estate market trend. Jeonse deposit data shows a skewed and heteroscedastic distribution and the commonly used mean regression model may be inappropriate for the analysis of Jeonse deposit data. In this paper, we apply a Bayesian quantile regression model to analyze Jeonse deposit data, which is non-parametric and does not require any distributional assumptions. Analysis results show that the quantile regression coefficients of most explanatory variables change dramatically for different quantiles. The regression coefficients of some variables have different signs for different quantiles, implying that even the same variable may affect the Jeonse deposit in the opposite direction depending on the amount of deposit.