• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.45-52
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• 2019

The current study aims to investigate the relationship between tax avoidance and firm risk in an emerging market called Iran. The study population consists of 400 observations and 80 companies listed on the Tehran Stock Exchange (TSE) over a five-year period during 2012 and 2016. The statistical model used in this study is a multivariate regression model; besides, the statistical technique used to test the hypotheses proposed in this research is panel data. The results showed that low effective tax rate (tax avoidance) is more consistent than the higher effective tax rate. Moreover, there is no significant relationship between tax avoidance and future tax rate volatility. The findings also proved that lower effective tax rates are positively associated with future stock price volatility. This implies that since Iranian firms have many financial problems because of economic sanctions, they have a tendency to delay the disclosure of bad news about their firms. Needless to say, when a huge number of negative news reaches its peak, they immediately will enter the market and lead to a remarkable fluctuation in stock prices.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.129-137
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• 2019

Tax can be categorised into direct tax and indirect tax. This paper uses the ordinary least-squares regression method to study the impact of direct and indirect tax on economic growth in Vietnam in the period 2003-2017. Statistical data is collected from the Ministry of Finance of Vietnam. Theoretically, tax generates the state budget revenue and is a tool to regulate the economy. The results of statistical tests show that tax has a positive impact on Vietnam's economic growth. However, the effects of direct tax and indirect tax are different. The indirect tax has a positive influence and promote Vietnam's economic growth, while the impact of the direct tax is invisible. There has not been sufficient evidence to confirm that the indirect tax has a more positive impact than the direct tax. To promote economic growth, Vietnam needs to restructure its tax system towards: (1) Increasing the proportion of indirect tax, reducing the proportion of direct tax in the state budget revenue; (2) Expanding tax bases; (3) Reducing tax rates of corporate income tax and personal income tax; (4) Increasing tax rates of environmental protection tax, natural resources tax, value added tax and excise tax on some types of goods which harm health and environment.

• Culinary science and hospitality research
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• v.2
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• pp.209-235
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• 1996

This study assesses consumer's eating-out pattern for Foodservice industry in Korea. Foodservice industry has become increasingly important because many businessman are looking it difficult to develop successful business as a consequence of the rapid growth in Foodservice industry in Korea This exploratory study originally nation-wide surveyed a 1450 consumer over the country. A research was conducted from July 1, to July 10, 1996 using as its subject domestic consumer over the country. The data obtained from the returned questionnaires was coded and transcribed for statistical analysis. The Statistical Package for social science program (SPSS) was used for computer analysis of the data. Findings indicated the problems of management structures, managerial techniques, and laggard counter measure against the korean government's open-door policy for dining-out industry. It is found that taste, F/B price, atmosphere are considered important in choice of restaurant. And korean consumer think it is that restaurant location, physical, evidence, quality of service, Ads of mouth and cleanliness. With the importance of dining-out industry to the business, economic, and social development of korea, it is imperative to bridge this gap for sustained growth and development. Moreover, this study for advancement and improvement through concrete and multi-directional data collection and in-depth analysis of consumer's eating-out pattern realities is required.

• Communications for Statistical Applications and Methods
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• v.27 no.4
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• pp.487-500
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• 2020

Insurers face increasing demands for cyber liability; entailed in part by a variety of new forms of risk of data breaches. As data breach occurrences develop, our understanding of the volatility in data breach counts has also become important as well as its expected occurrences. Volatility clustering, the tendency of large changes in a random variable to cluster together in time, are frequently observed in many financial asset prices, asset returns, and it is questioned whether the volatility of data breach occurrences are also clustered in time. We now present volatility analysis based on INGARCH models, i.e., integer-valued generalized autoregressive conditional heteroskedasticity time series model for frequency counts due to data breaches. Using the INGARCH(1, 1) model with data breach samples, we show evidence of temporal volatility clustering for data breaches. In addition, we present that the firms' volatilities are correlated between some they belong to and that such a clustering effect remains even after excluding the effect of financial covariates such as the VIX and the stock return of S&P500 that have their own volatility clustering.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.297-305
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• 2021

The study aims to investigate loyalty rewards programs on customers' satisfaction in Jordanian banks, and to investigate the statistical differences in loyalty rewards programs and customers' satisfaction according to demographics such as age, sex, education level, duration of engagement with bank, and the type of bank. The study is based on the data obtained from the sample. The questionnaire is the tool for collecting data from the respondents. The study materials include website resources, regular books, journals, and articles. The study population consists customers in the banking sector. The figures indicate that number of actual customers reaches 2.06 million. The sample size requirement is 386 items. Customers are split between traditional and Islamic banks, with 231 and 155 customers respectively. The stratified random sampling technique and the structural equations modeling methodology were used. The results show moderated impact of the loyalty rewards programs on customers' satisfaction. The results show statistical differences in the loyalty rewards programs and customers' satisfaction according to the engagement period with the bank only. The findings suggest better managing the loyalty programs and developing one credit card for all banks in Jordan.

• Journal of Electrodiagnosis and Neuromuscular Diseases
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• v.20 no.2
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• pp.91-97
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• 2018

Objective: The aim of this study was to compare the electrodiagnostic outcomes of carpal tunnel release in patients with and without diabetes with carpal tunnel syndrome (CTS), and to evaluate the effect of diabetes mellitus (DM) on electrodiagnostic outcomes. Method: We conducted a retrospective analysis of 67 patients with electro-diagnostic evidence of CTS. Patients were classified into two groups according to the presence of DM. Both groups were evaluated using nerve conduction studies preoperatively and 3 weeks and 3 months postoperatively. Results: There were no statistical differences in any of the electrodiagnostic parameters between groups 3 weeks postoperatively. However, there were statistical differences in the amplitude and the latency of compound muscle action potential, and sensory nerve conduction velocity 3 months postoperatively. Conclusion: Patients with DM did not show a significantly different outcome 3 weeks after surgery but showed a worse electrodiagnostic outcome 3 months after surgery than those without DM.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.121-132
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• 2022

The uncertainty regarding inventory may impart dynamic impacts on corporate-level financial decisions. Among others, a decision about capital investment is a crucial decision that requires overall financial stability. Following these theoretical notions, the current study aims to identify possible consequences of inventory volatility relating to corporate capital investment decisions. We employed ten years of data (2010-2019) of non-financial sector firms to achieve the objective. The Driscoll-Kraay model was used to quantify the regression. The statistical results imply that inventory volatility negatively influences capital investment decisions due to information asymmetry about the current financial position. Additionally, more volatility brings discrepancies in managers' investing decisions to fulfill the possible demand options of capital investment that require processing the inventory. However, based upon the statistical findings, it is suggested to corporate managers that they should consider the financial sensitivity of enterprises regarding inventory volatility. Thus, the current study introduces new thoughts regarding inventory volatility and its empirical role in determining capital investment.

• Journal of Preventive Medicine and Public Health
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• v.57 no.1
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• pp.1-7
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• 2024

Objectives: Adjusting for potential confounders is crucial for producing valuable evidence in outcome studies. Although numerous studies have been published using the Korea National Health Insurance Claim Database, no study has critically reviewed the methods used to adjust for confounders. This study aimed to review these studies and suggest methods and applications to adjust for confounders. Methods: We conducted a literature search of electronic databases, including PubMed and Embase, from January 1, 2021 to December 31, 2022. In total, 278 studies were retrieved. Eligibility criteria were published in English and outcome studies. A literature search and article screening were independently performed by 2 authors and finally, 173 of 278 studies were included. Results: Thirty-nine studies used matching at the study design stage, and 171 adjusted for confounders using regression analysis or propensity scores at the analysis stage. Of these, 125 conducted regression analyses based on the study questions. Propensity score matching was the most common method involving propensity scores. A total of 171 studies included age and/or sex as confounders. Comorbidities and healthcare utilization, including medications and procedures, were used as confounders in 146 and 82 studies, respectively. Conclusions: This is the first review to address the methods and applications used to adjust for confounders in recently published studies. Our results indicate that all studies adjusted for confounders with appropriate study designs and statistical methodologies; however, a thorough understanding and careful application of confounding variables are required to avoid erroneous results.

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1225-1234
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• 2010

When most examining judges deny the request for an arrest warrant, they cite (as a reason) that there is no worry about escape or the destruction of evidence. Consequently, there has been no knowing what characteristics of a crime mainly affect the decision for an arrest warrant and there has been significant dispute about the exact decision criteria used for an arrest warrant. This paper classified the data about the request of arrest warrants for crimes committed in the jurisdiction of the Jinju Public Prosecutors' Office in 2006, 2007 and 2008, into 7 categories according to characteristics of the crimes. For each category we construct a statistical model about the decision on arrest warrants by applying a crosstabulation analysis in order to look for the characteristic of crime that affect the decision for an arrest warrant.

• The Journal of the Korean dental association
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• v.53 no.7
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• pp.476-484
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• 2015

Purpose: This study intended to analyze the validity of clinical effectiveness data of clinical trials testing systemic titrated extract of Zea Mays L. unsaponifiable fraction chemotherapeutic agent. Material and Methods: Among 5 clinical trials claimed as proof of clinical effectiveness on the Web site of the manufacturer of this chemotherapeutic agent, a review of 4 clinical trials, written in either Korean or English, was conducted. Data were extracted from studies for the following variables: year of publication, age, sample size, follow-up period, combination with contemporary periodontal treatments, randomization, randomization check, blinded measurement, and statistical test type. Results: The study subjects' age intervals were too diverse to decide a common target population to generalize the findings. No study stated clearly the rationale for the sample size determination. Follow-up period to observe the start of clinical effectiveness was inconsistent and decided without any rationale of pathophysiological latent period. Randomization to make the comparisons on the same start line was performed but failed in a study. Randomization effect was not checked in 4 studies. Performance of blinded measurement of clinical outcomes to prevent bias was unclear in 2 studies. Type of statistical test was inappropriate in 3 studies. Conclusions: Based on the analysis of the validity of data on clinical and demographic variables, the four available clinical trials have not demonstrated compelling evidence of therapeutic effectiveness of systemic titrated extract of Zea Mays L. unsaponifiable fraction chemotherapeutic agent to improve prognosis of periodontal disease either with the contemporary periodontal treatment or without it.