• Title, Summary, Keyword: Income prediction

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Influencing Factors on Health-related Quality of Life in Middle and Old Adult One-Person Households (중노년 1인가구의 건강관련 삶의 질 영향요인)

  • Kwon, Jong Sun
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.153-167
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    • 2019
  • Purpose: The aim of this study was to examine factors influencing health-related quality of life in middle and old adult one-person households. Method: This study carried out secondary analysis using the data from the $7^{th}$ Korean National Health and Nutrition Examination Survey. Subject samples who were selected are 497 middle and old adult one-person households over 40 years. Data were analyzed using descriptive statistics, simple and multiple regression techniques with the SPSS/WIN 24 program. Result: Factors influencing health-related quality of life in middle adult one-person households were activity limitation, depression, exercise, smoking habits with 57% prediction. In male old adult one-person households they were subjective health, metabolic syndrome, activity limitation, perceived stress with 44.8% prediction and in female old adult one-person households they were subjective health, activity limitation, home income with 35.9% prediction. Conclusion: Therefore, to improve their health-related quality of life it needs to develop & to apply national and local promotion policy and intervention program on health-related quality of life of middle and old adult one-person households.

A Study on the Influence of Elderly Household Characteristics on Housing Consumption according to Public Pension Receipt (중·고령자 가구의 소득의 특성이 주택소비규모에 미치는 영향: 공적연금수령유무를 중심으로)

  • Jung, Sang Joon;Lee, Chang Moo;Shin, Hye Young
    • Korea Real Estate Review
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    • v.28 no.1
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    • pp.105-114
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    • 2018
  • According to Statistics Korea, South Korea has entered the realm of the "aging society" with the rapid development of the country's population. Researchers anticipate that the extremely high (73%) ratio of real estate property to total assets for mid-age to aged households in South Korea that do not have a fixed income may cause serious problems in the future. For example, the real estate market in South Korea may be bombarded with properties listed for sale, causing the average property price to drop due to the abundant supply. Although this prediction may be reasonable, this concept has excluded the idea of pension (which is crucial as it can be considered a consistent and fixed income) due to the limited amount of available data thereon; as such, it is important to include this factor to improve the pertinent research. Thus, this research was conducted using the data from the $3^{rd}$ and $5^{th}$ Korea Retirement and Income Study. For the study results, it was found that variables such as net asset, gender, education, and number of family members have the same impact as that found in the previous studies. To extend from here, two new factors were introduced: the existence of pensions and the amount of pension received by a household. From there, it was found that the existence of a consistent and fixed income such as a pension has led to an increase in housing consumption, the area of interest of the authors.

A study on factors affecting the job satisfaction of dental hygienists in Gwangju (광주광역시 치과위생사의 직무만족도에 영향을 주는 요인에 대한 연구)

  • Youn, Hye-Jeong;Park, Young-Nam;Ha, Myung-Ok
    • Journal of Korean society of Dental Hygiene
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    • v.9 no.4
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    • pp.699-714
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    • 2009
  • Objectives : This study was to examine factors affecting the job satisfaction of dental hygienists. Methods : The subjects in this study were dental hygienists who worked at dental hospitals, dental clinics and general hospitals in the city of Gwangju. A survey was conducted by mail from January 2 to March 2, 2007. Out of the collected data, 208 answer sheets were analyzed. Results : 1. The dental hygienists investigated got a mean of 3.20 on job satisfaction. Among the job satisfaction factors, relationship with patients ranked highest(3.79), followed by relationship with colleagues(3.62), working environments(3.39), future prospects(3.30), professional status (2.89), pay(2.82) and required workload(2.58). 2. Regarding links between general characteristics and job satisfaction, the older dental hygienists were more satisfied with professional status, pay, required workload and relationship with patients. By marital status, the married dental hygienists expressed better satisfaction at professional status than the unmarried ones. By education, those who were receiving college education or received the same or higher education were more gratified than the junior college graduates. By the total length of career, the dental hygienists whose length of career was longer were more gratified with professional status, future prospects and relationship with patients. By workplace, the dental hospital workers were more satisfied with working environments, and the general hospital employees were more gratified with pay. The dental hospital employees were better satisfied with future prospects as well. As to the impact of the length of career at the current workplace, there was a tendency that those who worked at their current workplaces for a longer time expressed better satisfaction with professional status, pay and relationship with patients. By monthly mean income, the larger income earners had a tendency to be better gratified with professional status, pay and relationship with patients. 3. The general characteristics that were selected as independent variables were identified as the factors that exercised an influence on the job satisfaction of the dental hygienists and made an about 14.0% prediction of it. Out of those factors, the total length of career and monthly mean income had a statistically significant impact on that. Conclusions : The above-mentioned findings suggested that out of the seven job satisfaction components, they gave the lowest marks to satisfaction level with pay. As a result of making a multiple regression analysis, it's found that job satisfaction was under the influence of the total length of career and monthly mean income. Therefore there should be an improvement in the pay system in order to boost the job satisfaction of dental hygienists, and they should be paid properly in accordance with total length of career.

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Bayesian analysis of Korean income data using zero-inflated Tobit model (영과잉 토빗모형을 이용한 한국 소득분포 자료의 베이지안 분석)

  • Hwang, Jisu;Kim, Sei-Wan;Oh, Man-Suk
    • The Korean Journal of Applied Statistics
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    • v.30 no.6
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    • pp.917-929
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    • 2017
  • Korean income data obtained from Korea Labor Panel Survey shows excessive zeros, which may not be properly explained by the Tobit model. In this paper, we analyze the data using a zero-inflated Tobit model to incorporate excessive zeros. A zero-inflated Tobit model consists of two stages. In the first stage, individuals with 0 income are divided into two groups: genuine zero group and random zero group. Individuals in the genuine zero group did not participate labor market since they have no intention to do so. Individuals in the random zero group participated labor market but their incomes are very low and truncated at 0. In the second stage, the Tobit model is assumed to a subset of data combining random zeros and positive observations. Regression models are employed in both stages to obtain the effect of explanatory variables on the participation of labor market and the income amount. Markov chain Monte Carlo methods are applied for the Bayesian analysis of the data. The proposed zero-inflated Tobit model outperforms the Tobit model in model fit and prediction of zero frequency. The analysis results show strong evidence that the probability of participating in the labor market increases with age, decreases with education, and women tend to have stronger intentions on participating in the labor market than men. There also exists moderate evidence that the probability of participating in the labor market decreases with socio-economic status and reserved wage. However, the amount of monthly wage increases with age and education, and it is larger for married than unmarried and for men than women.

The 'Trojan Horse' of Old Age Income Security System Retrenchment in Korea : the Examination of Policy Changes on Basic Old Age Pension for the Rich (기초연금제도 축소의 '트로이 목마' : 부유층 노인 수급제한조치에 대한 실증적 비판)

  • Kim, Seongwook;Han, Sinwil
    • Korean Journal of Social Welfare
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    • v.66 no.3
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    • pp.231-251
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    • 2014
  • Recently, Korean government documented the plan to cope with the situation related to rich pensioners of Basic old-age pension. The purpose of this paper is to verify that how many rich pensioners are existing and to evaluate government reform plan's validity and effect. Main results are as follows; firstly, if the definition of rich pensioners is on the top 10%, the proportion of them would form 2.9% of total. And then, an amount of expenditure for them is only 2.6% of total. Secondly, in terms of disposable income, debt, and transfer income from child, the household who would be applied by government's plan is not richer than other household who is in the same living standard. And then, if the government's plan enforced, the effect might be very small. Lastly, the plan of government will discriminate against persons who support their parent. As a result, Basic old-age pension will be worsen. This paper should underline that the government's reform is only the 'hidden' retrenchment strategy in order to introduce a standard of the obligation to support own parent in the state without scientific prediction and serious discussion of negative public opinion. That is why, this is the same as the 'Trojan Horse'.

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A novel nomogram of naïve Bayesian model for prevalence of cardiovascular disease

  • Kang, Eun Jin;Kim, Hyun Ji;Lee, Jea Young
    • Communications for Statistical Applications and Methods
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    • v.25 no.3
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    • pp.297-306
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    • 2018
  • Cardiovascular disease (CVD) is the leading cause of death worldwide and has a high mortality rate after onset; therefore, the CVD management requires the development of treatment plans and the prediction of prevalence rates. In our study, age, income, education level, marriage status, diabetes, and obesity were identified as risk factors for CVD. Using these 6 factors, we proposed a nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model for CVD. The attributes for each factor were assigned point values between -100 and 100 by Bayes' theorem, and the negative or positive attributes for CVD were represented to the values. Additionally, the prevalence rate can be calculated even in cases with some missing attribute values. A receiver operation characteristic (ROC) curve and calibration plot verified the nomogram. Consequently, when the attribute values for these risk factors are known, the prevalence rate for CVD can be predicted using the proposed nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model.

Studies on Insolvency Prediction for young Korean debtor (한국 청년가계의 부실화 가능성 연구)

  • Lee, Jonghee
    • Korean Family Resource Management Association
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    • v.23 no.2
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    • pp.99-115
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    • 2019
  • This study examined the insolvency likelihood of young debtors from the 2018 Household Financial and Welfare Survey. This study used the Household Default Risk Index (HDRI), which considers the ratio of total debt to total assets (DTA), and a total debt service ratio (DSR) to examine the insolvency level of debtors. The descriptive analyses showed no difference in frequency of households with a high probability of insolvency between those less than 35 years of age and those over 35 years of age. However, the median HDRI value for those less than 35 years of age was higher than those over 35 years of age. The multivariate analyses indicated that educational expenses for young Korean debtors was a factor that increased their probability of insolvency, while income was the only variable that decreased their insolvency likelihood.

A New Interpretation Approach using Tobit Analysis : Simulations based on Type I Tobit of Amemiya - Focused on Childcare Services -

  • Park, Sun-Young
    • Journal of Korean Home Management Association
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    • v.19 no.6
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    • pp.145-155
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    • 2001
  • The purposes of this study were first to construct statistical and econometric models based on Amemiya\`s Type I Tobit mainly addressing the issue of statistical efficiency; second to explore income, price, and curvilinear age effects on the explained variable in order to illustrates its statistical marginal effects related to econometric issues; finally to provide invaluable insight for graphical simulations as a new interpretation approach using Tobit analysis. Results indicated that interpretation for the mean marginal effects of three possible cases of dependent variable was more likely to be evident to understand Tobit results compared to conventional analysis only using latent variable, beta. Results also revealed that prediction value of dependent variable can be possibly and easily projected by the independent variable changed whereas only beta value can not illustrate its projection as independent variables'changes.

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An Analysis of the Effects of Human Resource Accounting Information on the Prediction of the Price of Common Stock (인적자원회계정보가 주가예측에 미치는 영향분석)

  • 오화중
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.18 no.33
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    • pp.173-183
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    • 1995
  • The Objective of the study was to determine the usefulness of human resource accounting(HRA) information in assisting financial analysis in their investment decisions. The objective achieved by an investigation through which the reporting of HRA, combined with demographic factors that are independent or interactive, affects the decisions of financial analysts regarding the estimation of the market price of a hypothetical company's common stocks. Two kinds of research were conducted to increase the reliability of the study at the same time. Two or three sets of financial statement were prepared. Each consists of balance sheet and income statement. The actual financial statement was modified to exclude personal bias and opinion.

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Forecasting Corporate Bankruptcy with Artificial Intelligence (인공지능기법을 이용한 기업부도 예측)

  • Oh, Woo-Seok;Kim, Jin-Hwa
    • Journal of Industrial Convergence
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    • v.15 no.1
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    • pp.17-32
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    • 2017
  • The purpose of this study is to evaluate financial models that can predict corporate bankruptcy with diverse studies on evaluation models. The study uses discriminant analysis, logistic model, decision tree, neural networks as analyses tools with 18 input variables as major financial factors. The study found meaningful variables such as current ratio, return on investment, ordinary income to total assets, total debt turn over rate, interest expenses to sales, net working capital to total assets and it also found that prediction performance of suggested method is a bit low compared to that in literature review. It is because the studies in the past uses the data set on the listed companies or companies audited from outside. And this study uses data on the companies whose credibility is not verified enough. Another finding is that models based on decision tree analysis and discriminant analysis showed the highest performance among many bankruptcy forecasting models.

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