• Journal of the Korean Home Economics Association
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• 제36권11호
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• pp.219-230
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• 1998

The purpose of this study was to understand credit card uses and debt burden of the multiple credit card holders. Data were obtained from 428 housewives living in Seoul. OLS regression analysis was used for examining factors affecting credit card uses and debt burden for the multiple credit card holders. The findings could be summarized as follows. First, among the three types of credit cards-bank card, retail card, and professional card, the multiple credit card holders tended to have more bank cards than retail and professional cards. Second, holding of the professional card was positively associated with both the frequency and the amount of credit card use per month. Third, the household income, age, employment status, and motive were important factors in predicting their attitudes toward credit card. Forth, the level of education, employment status, holding of the professional card, motive, amount of credit card use, and attitude toward credit card had singificant effects on their perceived debt burden.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.49-60
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• 2023

The study attempts to examine the relationship among revenue growth factors from different angles and provides a comprehensive overview of tax revenue collection for developing countries. The impact of income tax, customs duty, and value-added tax on the gross domestic product is examined using the ordinary least-square (OLS) multiple regression approach. To confirm the association, a multiple regression model is applied to time-series data. SPSS software, MS Excel, is used to draw the empirical results, trend analysis, and some graphical presentation to reach the study's objective. The findings show that while the value-added tax has a significant impact and the highest coefficient, regardless of country, income tax and customs duty may or may not be significant depending on the circumstances. It triggers effectual and efficacious economic growth. The paper has implications in policy-making areas where governments are seeking how to stimulate revenue growth effectively and efficiently. To promote economic growth, the tax net and tax rate on luxury goods should be increased along with human resources in the tax administration for the short term. But in the long term, decentralization & digitization of tax administration, dismantling the existing tax barriers and good governance are necessary.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.327-339
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• 2021

This study examines the impact of bank restructuring on the financial performance of commercial banks in Vietnam. The data for this study was obtained from the audited financial statements of 30 Vietnamese commercial banks from 2007 to 2019. Multiple regression analysis was used for investigation. Financial performance, as evaluated by ROAA, ROEA, and NIM, is the dependent variable. Financial restructuring, ownership restructuring, and operational restructuring are the independent variables. Pooled least squares (Pooled OLS), fixed effects model (FEM), random effects model (REM), and system generalized moment regression model (System GMM) are the estimate methods used to increase the accuracy of the regression coefficient. The research results show that the variables of financial restructuring activities such as government intervention and the ratio of equity to total assets; variables of ownership restructuring such as capital adequacy ratio, privatization of state-owned commercial banks, mergers, and acquisitions; variables of operational restructuring such as employees, branches, the cost to total assets; GDP variables and the second restructuring period have a positive impact on financial performance. Variables such as debt-to-capital ratio, bad debt ratio, state ownership ratio, expense-income ratio, and inflation have a negative effect on financial performance.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.27-39
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• 2022

The exchange rate is an important macroeconomic variable that influences internal and external balances. Nepal follows a dual exchange rate such that the Nepali rupee (NPR) is pegged with the Indian rupee (INR) but floats with the United States dollar (USD) and all other currencies. There have been very few studies on the exchange rate of Nepal, of which the majority focus on the bivariate relationship between exchange rate and another variable. However, this paper analyses the multivariate relationship between the USD-NPR exchange rate and major macroeconomic variables. Determinants of Nepal's exchange rate have been derived with multiple regression using the ordinary least square (OLS) approach. Since the explanatory variables could not significantly capture the movement of the dependent variable, a long-run relationship between Nepal and India's exchange rate has been analyzed using Engle-Granger cointegration to establish a relationship as suggested by a graphical representation. This explains that Nepal's exchange rate long run is determined by India's exchange rate than its own fundamentals. In addition, the macro-linkages of Nepal's macroeconomic variables have been analyzed using Standard Vector Autoregressive models followed by impulse response analysis which is useful for policy decisions. Some policy implications indicating the sustainability of Nepal's pegged regime have been drawn based on the empirical analysis.

• The Journal of Industrial Distribution & Business
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• 제12권8호
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• pp.33-39
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• 2021

Purpose: The influence of age on time preference is not identified in the usual cross-sectional analysis. This study aims to test whether age affects time preference after controlling for the effects of individual heterogeneity including cohort effects. Research design, data and methodology: Drawing on a nationally representative panel dataset of Indonesians, we estimate the effects of age on time preference after controlling for unobserved individual heterogeneity as well as potential cohort effects. We measure time preference exploiting information on two sets of multiple price lists: one for a one-year delay, and the other for a five-year delay. Results: When we controlled for time-invariant individual characteristics, including birth cohort effects in a fixed effects model, the older men and women were more patient in a linear fashion, particularly when the delay was longer. To highlight the importance of controlling for individual fixed effects, we repeated the specification without controlling for individual fixed effects in OLS or censored maximum likelihood regression; we found no relation between age and impatience in men or women and for a one or five-year delay. Conclusions: The older men and women are more patient, and time preferences are correlated with unobserved individual heterogeneity.

• Korean Security Journal
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• 제39호
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• pp.217-239
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• 2014

The purpose of this study is to compare with three juvenile delinquency theories on adolescents' status offenses including Hirschi's social bonding theory, Agnew's general strain theory, and Akers' social learning theory. The data derived from a sample of 2,337 middle school students taken from National Youth Policy Institute in 2011-2012. Multiple OLS regression analysis revealed that variables from social learning theory were strongly supported as an explanation for adolescents' status offenses, while variables from general strain theory were not supported. The social learning model explained 12.0% of the variance in adolescents' status offenses. However, general strain variables explained 2.6% of the variance in the dependant variable and 6.2% of the variance in adolescents' status offenses were explained by the social bonding variables. The present research made important contributions the further utilization of social learning in investigating many of the damaging forms of social deviance which exist in our society.

• Korean Journal of Social Welfare
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• 제66권1호
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• pp.251-276
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• 2014

This study scrutinizes the common sense in the field of disability employment that the bigger the size of a firm, the lower the employment rate of people with disabilities. This common sense has been established by conventional cross-tabulation and multiple regression analyses without taking into account possible interactions between the sizes of firms and the industries in which they operate. This study shows that the distribution of the disability employment rate violates the linearity and homoscedasticity assumptions of the OLS. In an effort to find models that explain the data better, this study fits the OLS model, the weighted linear regression model, and the multinomial logit model as well as the path analysis which is meant to examine the relationships between firm size and other variables relevant to disability employment. The result shows that, when an interaction term between firm size and industry is added to the model, firm size does not have any significant effect on disability employment rate for those firms with 100 or more regular employees, to the contrary of the findings of prior studies. It also demonstrates that other factors such as job setting, the extent of helpfulness of disability employment employers perceive, employers' care for disability, and employers' awareness of disability policies may matter more than does firm size. This study proposes that future research and policy implementation for disability employment should pay no less attention to industry and other factors mentioned above than to firm size.

• Korean Journal of Construction Engineering and Management
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• 제13권2호
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• pp.128-136
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• 2012

In this study, we investigated the macroeconomic variables that affect housing prices thus creating a large impact on people's lives as well as the real estate market. For the study, the macroeconomic variables able to influence the House Rental Price (housing price by lease or deposit) were used for an analysis as follows: housing sales price index, household loans rate, total household savings, the number of employees and a multiple regression analysis was performed using a time series for each macroeconomic variable. As a result of the analysis, the House Rental Price was affected by all of four macroeconomic variables. The House Rental Price increased as each variable enlarged. In conclusion, this study may be useful for finding a solution for stabilizing the House Rental Price as well as for the establishment of efficient and sustainable policies for the housing market.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.565-576
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• 2020

This study examines factors of unemployment and career path challenges commonly faced by youth in the East Coast of Peninsular Malaysia. The study employed a quantitative approach which involved a total of 1,083 youths in Kelantan, Pahang and Terengganu selected at random. Descriptive and multiple regression analysis (OLS) methods were used to analyze demographic distribution of youth in determining factors influencing unemployment among them. The results reveal that the majority of youth respondents in the East Coast states of Malaysia are still unemployed and actively seeking employment. Demographic profiles are based on the survey results, youths seeking employment with 36 per cent distribution in Kelantan, 34 per cent in Pahang, and 30 per cent in Terengganu. Majority of the respondents were youths aged 20 to 24 years with a 40.9 percent percentage. The findings show that there are differences in factors affecting youth unemployment in the three states of East Coast, Malaysia. For Kelantan (age, experience, work mobility, marital status), Pahang (experience, marital status) and Terengganu (experience, gender, marital status, training). This study suggests that youths should be wise in preparing for their career by choosing the right career as well as doing side jobs to gain experience before they pursue for a real job.

• 한국노년학
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• 제38권3호
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• pp.481-499
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• 2018

The purpose of this study is to examine the impacts of smartphone use on structured social network types in the Korean elderly population. Data was derived from the 2014 survey of living conditions and welfare needs of Korean older persons collected by Korea Institute for Health and Social Affairs. A total of 4,180 participants were selected for the Propensity Score Matching (PSM) analysis. Based on propensity score estimates, the 491 smartphone users (treatment group) and 491 featurephone users (control group) were matched. Ordinary Least Squares (OLS) regression analysis was conducted to examine the relationship between smartphone use and structural social network types. The results showed that among retired older adults, people using smartphone had significantly better structured social networks than those using featurephone even after controlling for covariates. Smartphone users had the higher levels of social contact and social activity. These findings suggested empirical evidence that using smartphone positively affects structured social networks, which might be used as the basis for designing intervention programs to promote social networks and social engagement of retired older adults.